A method and system for preventing loosening of pre-stretched fittings

Abstract

This invention relates to the field of power grid operation and maintenance technology, specifically to a method and system for preventing loosening of pre-stretched fittings. The method includes the following steps: judging phase difference changes through interference waveforms, calculating stability coefficients to establish connection characteristics, analyzing phase changes and fatigue distribution using vibration data, determining the direction of heat conduction and adjusting torque based on temperature data, analyzing winding response and adjusting the number of turns using tension data, and analyzing the conduction relationship to calculate the conversion rate. In this invention, interface stability characteristics are extracted through double-ended stress wave interference analysis, fatigue accumulation trends are identified by combining the frequency doubling phase drift gradient, and the gripping force direction is adjusted using temperature gradient decomposition. A torque distribution structure matching heat conduction is established, and the number of turns and angle are adjusted based on winding tension fluctuations. An energy conversion ratio evaluation system is constructed to achieve multi-source parameter linkage monitoring and active control of the fitting connection state, avoiding response lag, positioning deviation, and inaccurate control.

Description

Technical Field

[0001] This invention relates to the field of power grid operation and maintenance technology, and in particular to a method and system for preventing loosening of pre-stretched fittings. Background Technology

[0002] The field of power grid operation and maintenance technology encompasses the entire process of power transmission, distribution, and equipment operation and maintenance in a power system. Core aspects include transmission line inspection and repair, equipment condition monitoring, fault diagnosis, and safety control of line fittings and conductor connections. By monitoring and analyzing power line operating parameters, environmental conditions, and mechanical stress, the safety and stability of the power grid are ensured. Pre-stranded fittings are crucial components connecting conductors to insulators or towers in power lines; their structure and installation quality directly affect the mechanical strength and electrical performance of the line. Therefore, preventing loosening or detachment of fittings during long-term operation is an important research direction in power grid operation and maintenance technology. Traditional methods for preventing loosening of pre-stranded fittings involve manual... To prevent slippage or loosening at the connection between the fittings and the conductor, methods such as installation and mechanical fastening are used. Typically, a pre-stranded wire outer layer is used to cover the conductor. The number of turns, winding direction, and tension of the pre-stranded wire are manually controlled to create a gripping force, achieving mechanical fixation between the conductor and the fitting. Anti-slip steel wires, limiting rings, or wedge clamps are added at the connection point to enhance friction and prevent loosening. Tightening is achieved through torque control and joint crimping. However, due to factors such as human error during installation, environmental vibration, and fitting material fatigue, traditional anti-loosening control methods suffer from insufficient control precision and difficulty in real-time status monitoring. Therefore, further research and improvement of anti-loosening control for pre-stranded fittings are still needed in the field of power grid operation and maintenance.

[0003] Traditional techniques rely on manual winding to determine the number of turns and tension of pre-stretched fittings, which is difficult to accurately reflect the actual stress state of the conductor. Manual operation is greatly affected by field experience and the working environment, resulting in uneven distribution of connection holding force and insufficient long-term stability of the pre-tightened state. After being subjected to thermal expansion and contraction, vibration and impact, or conductor stress wave interference during operation, the connection area is prone to micro-slippage and attenuation of coupling strength. Traditional monitoring methods lack real-time response capability to changes in the connection state of fittings, and relying on periodic manual maintenance is difficult to detect early signs of loosening. Existing fatigue assessment methods are mainly based on amplitude or energy indicators, which are difficult to locate structural displacement and fatigue accumulation, resulting in delayed detection results and ineffective treatment measures. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this invention provides a method for controlling the loosening of pre-stretched fittings, comprising the following steps:

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a method for controlling the loosening of pre-stretched fittings, comprising the following steps:

[0006] S1: Call the double-ended stress wave data, analyze the propagation direction of the excitation signal, judge the phase difference change by interferometric waveform synthesis, compare the stability of the change in continuous period, identify and remove noise sequences, adjust the frequency and amplitude, calculate the interface combined with the stability coefficient, and establish connection coupling characteristic information.

[0007] S2: Based on the connection coupling characteristic information, call the fundamental frequency and harmonic vibration data of the conductor connection segment, analyze the harmonic phase change rate, calculate the phase drift gradient between measuring points, identify abrupt change sections, determine the relationship between the change direction and the conductor force offset, calculate the fatigue accumulation degree, and establish fatigue concentration change gradient information;

[0008] S3: Based on the fatigue concentration gradient information, call the conductor temperature monitoring data, analyze the temperature distribution along the line, calculate the ratio of axial and radial temperature differences, determine the dominant direction of heat conduction, adjust the torque distribution ratio, calculate the stress direction offset change rate, and generate the grip offset angle configuration.

[0009] S4: Based on the grip offset angle configuration, call the tension data, analyze the tension fluctuation during the winding process, calculate the correlation between the tension change rate and the angle change, determine the response synchronization, adjust the angle step and the number of turns, and generate the winding turn adjustment ratio information;

[0010] S5: Based on the winding turn adjustment ratio information, call up micro-vibration and stress data, analyze the change law of vibration energy and structural energy, calculate the conversion ratio, determine the relationship between energy conduction and structural state, calculate the rate of change, and generate energy conversion rate information of the fastened state.

[0011] As a further aspect of the present invention, the connection coupling characteristic information includes the interference phase difference change, reflection delay ratio, and energy spatial distribution curve; the fatigue concentration change gradient information includes the frequency doubling phase drift rate, spatial gradient abrupt change amplitude, and force direction offset trend; the grip offset angle configuration specifically includes the temperature decomposition direction component, stress direction offset change rate, and torque distribution adjustment parameters; the winding number adjustment ratio information includes tension change synchronization degree, number of turns adjustment ratio, and force balance evaluation parameters; and the fastened state energy conversion rate information specifically refers to the energy conversion ratio sequence, structural stress response coefficient, and conduction change rate.

[0012] As a further aspect of the present invention, the step of obtaining the connection coupling feature information specifically includes:

[0013] S101: Call the double-ended stress wave data to obtain the stress wave excitation signals at both ends of the fitting, analyze the propagation direction of the excitation signals, compare the continuous periodic main phase data in the waveform synthesis signal of the interference zone, identify the dynamic change characteristics of the phase difference, and combine the reflection delay signal to obtain the interference waveform change data.

[0014] S102: Based on the interference waveform change data, compare the fluctuation characteristics of each signal segment and determine its stability, eliminate instantaneous noise sequences, and generate a set of fluctuation anomaly intervals;

[0015] S103: Based on the set of abnormal fluctuation intervals, by adjusting the frequency and amplitude of the excitation signal, equalizing the superimposed interference, calculating the interface combined with the stability coefficient, and establishing connection coupling characteristic information.

[0016] As a further aspect of the present invention, the process of eliminating the instantaneous noise sequence specifically includes:

[0017] For the main phase data within a continuous period in the waveform synthesis signal within the interference zone, calculate the amplitude difference component between each adjacent time point, compare the target amplitude difference component with the instantaneous amplitude fluctuation identification benchmark, and when any amplitude difference component exceeds the instantaneous amplitude fluctuation identification benchmark, remove the main phase data segment at the corresponding time point, and reconstruct the phase fluctuation continuity sequence based on the remaining main phase data to construct the fluctuation anomaly interval set;

[0018] In the interference waveform after the excitation signal frequency is adjusted, the amplitude fluctuation rate of each principal phase data in the same period is extracted, the difference between the mean and the median is calculated, and the difference is used as the instantaneous amplitude fluctuation identification benchmark.

[0019] As a further aspect of the present invention, the step of obtaining the fatigue concentration change gradient information specifically includes:

[0020] S201: Obtain the connection coupling characteristic information, call the fundamental frequency and harmonic vibration data of the conductor connection segment, analyze the phase change rate of the harmonic signal at each measuring point, filter the time-series change data of each measuring point, and establish a harmonic phase rate data group;

[0021] S202: Based on the frequency doubling phase rate data set, calculate the gradient distribution of phase drift between adjacent measurement points in space, analyze the continuous change of the gradient distribution curve, identify abrupt change points in the spatial curve and locate abrupt change segments, and generate a phase gradient abrupt change interval.

[0022] S203: Call the phase gradient abrupt change interval, determine the offset relationship between the phase change direction of the target section and the force direction of the conductor, optimize the smoothness of the frequency doubling signal curve, calculate the degree of fatigue accumulation through spatial distribution differences, and establish fatigue concentration change gradient information.

[0023] As a further aspect of the present invention, the step of obtaining the grip offset angle configuration specifically includes:

[0024] S301: Based on the fatigue concentration gradient information, call the temperature monitoring data of each coordinate along the conductor, analyze the temperature distribution at multiple locations, compare the temperature changes in the conductor's axial and radial directions, and generate a temperature directionality data set.

[0025] S302: Based on the temperature directionality data set, compare the rates of axial and radial temperature changes, determine the dominant trend of heat conduction direction, analyze the influence of temperature distribution on the gripping stress direction, establish the correspondence of directional components after temperature decomposition, and establish a set of temperature stress component relationships.

[0026] S303: Based on the set of temperature stress component relationships, adjust the torque distribution ratio at the end of the fitting, optimize the consistency of the grip stress direction in combination with the dominant direction of heat conduction, calculate the stress direction offset change rate, and generate the grip offset angle configuration.

[0027] As a further aspect of the present invention, the step of obtaining the winding turn adjustment ratio information specifically includes:

[0028] S401: Based on the grip offset angle configuration, call the wire tension monitoring data during the winding stage, analyze the fluctuation trend of wire tension during the winding process, calculate the correlation between the tension change rate and the winding angle change, and generate a tension angle correlation group.

[0029] S402: Based on the tension angle correlation group, compare the synchronicity of the tension response curve and the winding angle change curve, determine the degree of coordination between the two, analyze the influence of the number of turns on the tension fluctuation, extract the relationship between synchronicity and the number of turns fluctuation, and form the winding number of turns change characteristics;

[0030] S403: Based on the changes in the number of winding turns, adjust the angle step and the number of turns distribution ratio of the winding equipment, evaluate the balance of the force distribution on the conductor, and generate winding turn adjustment ratio information.

[0031] As a further aspect of the present invention, the step of obtaining the energy conversion rate information of the fastened state specifically includes:

[0032] S501: Based on the winding turn adjustment ratio information, call the micro-vibration and stress response monitoring data of the hardware connection section, analyze the changes in conductor vibration input energy and structural return energy during the operating cycle, calculate the conversion ratio between energy input and energy return, and generate an energy conversion ratio sequence.

[0033] S502: Based on the energy conversion ratio sequence, compare the trend of the energy conversion sequence of the continuous sampling period, determine the fluctuation of the energy conduction process, analyze the correspondence between energy conversion changes and structural stability, extract the energy fluctuation and structural stability characteristics, and generate energy structure stability parameters.

[0034] S503: Based on the energy structure stability parameters, optimize the matching between energy conduction ratio and stress response, calculate the rate of change of energy conversion sequence, integrate matching features and rate of change, and generate energy conversion rate information for the fastened state.

[0035] A pre-stretched fitting anti-loosening control system includes:

[0036] The interference coupling identification module calls the double-ended stress wave data, analyzes the propagation direction of the excitation signal, judges the phase difference change by synthesizing the interference waveform, compares the stability of the change within a continuous period, identifies and removes noise sequences, adjusts the frequency and amplitude, calculates the interface combined with the stability coefficient, and establishes connection coupling characteristic information.

[0037] The fatigue gradient extraction module, based on the connection coupling feature information, calls the fundamental and harmonic vibration data of the conductor connection segment, analyzes the harmonic phase change rate, calculates the phase drift gradient between measuring points, identifies abrupt change sections, determines the relationship between the change direction and the conductor force offset, calculates the degree of fatigue accumulation, and establishes fatigue concentration change gradient information.

[0038] Based on the fatigue concentration gradient information, the thermal offset coordination module calls the conductor temperature monitoring data, analyzes the temperature distribution along the line, calculates the ratio of axial and radial temperature differences, determines the dominant direction of heat conduction, adjusts the torque distribution ratio, calculates the stress direction offset change rate, and generates the grip offset angle configuration.

[0039] The winding number control module calls the tension data according to the grip offset angle configuration, analyzes the tension fluctuation during the winding process, calculates the correlation between the tension change rate and the angle change, judges the response synchronicity, adjusts the angle step and the number of windings distribution, and generates winding number adjustment ratio information.

[0040] The energy stability assessment module uses the winding number adjustment ratio information to call up micro-vibration and stress data, analyzes the change law of vibration energy and structural energy, calculates the conversion ratio, judges the relationship between energy conduction and structural state, calculates the rate of change, and generates energy conversion rate information of the fastened state.

[0041] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0042] In this invention, by introducing double-ended stress wave interferometry, the phase difference variation law of the connection area is identified, interface stability parameters are obtained, and the fatigue accumulation trend of the connection segment is judged by combining the frequency doubling phase drift gradient. The dynamic evolution characteristics of the connection state are established. The torque distribution structure of the hardware is adjusted by adjusting the temperature gradient vector and the force direction to match the actual heat conduction direction and optimize the connection coupling stability. The number of turns and angle distribution strategy are corrected in real time by combining the tension fluctuation during the winding process. A fastening recovery state evaluation system based on energy conversion ratio is constructed to realize multi-dimensional parameter dynamic monitoring and anti-loosening control of the pre-stretched hardware connection state, and solve the problems of slow response, incomplete monitoring and ambiguous fatigue positioning in traditional methods. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of the steps of the present invention;

[0045] Figure 2 This is a detailed schematic diagram of S1 of the present invention;

[0046] Figure 3 This is a detailed schematic diagram of S2 of the present invention;

[0047] Figure 4 This is a detailed schematic diagram of S3 of the present invention;

[0048] Figure 5 This is a detailed schematic diagram of S4 of the present invention;

[0049] Figure 6 This is a detailed schematic diagram of S5 of the present invention;

[0050] Figure 7 This is a system module diagram of the present invention. Detailed Implementation

[0051] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0052] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0053] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0054] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0055] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0056] Please see Figure 1 This invention provides a method for controlling the loosening of pre-stretched fittings, comprising the following steps:

[0057] S1: Call the double-ended stress wave data, analyze the propagation direction of the excitation signal, judge the phase difference change by interferometric waveform synthesis, compare the stability of the change in continuous period, identify and remove noise sequences, adjust the frequency and amplitude, calculate the interface combined with the stability coefficient, and establish connection coupling characteristic information.

[0058] S2: Based on the connection coupling characteristic information, call the fundamental frequency and harmonic vibration data of the conductor connection segment, analyze the harmonic phase change rate, calculate the phase drift gradient between measuring points, identify abrupt change sections, determine the relationship between the change direction and the conductor force offset, calculate the fatigue accumulation degree, and establish fatigue concentration change gradient information;

[0059] S3: Based on fatigue concentration gradient information, call the conductor temperature monitoring data, analyze the temperature distribution along the line, calculate the ratio of axial and radial temperature differences, determine the dominant direction of heat conduction, adjust the torque distribution ratio, calculate the stress direction offset change rate, and generate the grip offset angle configuration.

[0060] S4: Based on the grip offset angle configuration, call the tension data, analyze the tension fluctuation during the winding process, calculate the correlation between the tension change rate and the angle change, determine the response synchronicity, adjust the angle step and the number of turns, and generate the winding turn adjustment ratio information;

[0061] S5: Based on the information on the winding number adjustment ratio, call up micro-vibration and stress data, analyze the change law of vibration energy and structural energy, calculate the conversion ratio, determine the relationship between energy conduction and structural state, calculate the rate of change, and generate energy conversion rate information of the fastened state.

[0062] The connection coupling characteristic information includes the interference phase difference change, reflection delay ratio, and energy spatial distribution curve; the fatigue concentration change gradient information includes the frequency doubling phase drift rate, spatial gradient abrupt change amplitude, and force direction offset trend; the grip offset angle configuration specifically includes the temperature decomposition direction component, stress direction offset change rate, and torque distribution adjustment parameters; the winding number adjustment ratio information includes tension change synchronization degree, number of turns adjustment ratio, and force balance evaluation parameters; and the fastened state energy conversion rate information specifically refers to the energy conversion ratio sequence, structural stress response coefficient, and conduction change rate.

[0063] Please see Figure 2 The specific steps for obtaining the connection coupling feature information are as follows:

[0064] S101: Call the double-ended stress wave data to obtain the stress wave excitation signals at both ends of the fitting, analyze the propagation direction of the excitation signals, compare the continuous periodic main phase data in the waveform synthesis signal of the interference zone, identify the dynamic change characteristics of the phase difference, and combine the reflection delay signal to obtain the interference waveform change data.

[0065] The dual-end stress wave data is invoked, specifically by simultaneously applying a piezoelectric sensor at both ends of the fitting (end A and end B). , frequency is The excitation signal. The propagation direction of the excitation signal is analyzed, that is, the arrival time of the signal at end B detected by the sensor array at end A is... The arrival time of the signal from end A detected by the sensor array at end B is... The signal was determined to be bidirectional beam propagation. In the interference zone of the middle section of the fitting, the main phase data of the continuous periods in the waveform synthesis signal were compared and processed to acquire the first period ( When the phase at point A is The phase at terminal B is The phase difference is In the second cycle ( When the phase at point A is The phase at end B is The phase difference is Identify the dynamic changes in phase difference, specifically the change in phase difference over two consecutive periods. Combining the sensor at end A in The reflection delay signal received from its own excitation signal is integrated with the phase difference change ( ) and reflection delay ( ), thus obtaining the interference waveform change data.

[0066] S102: Based on the interference waveform change data, compare the fluctuation characteristics of each signal segment and determine the stability, remove the instantaneous noise sequence, and generate a set of fluctuation anomaly intervals;

[0067] Based on the interference waveform variation data, the fluctuation characteristics of each signal segment are compared. In the process of eliminating instantaneous noise sequences, an instantaneous amplitude fluctuation identification benchmark is first established. A frequency adjustment is then performed to adjust the excitation signal frequency to... The amplitudes of five principal phase data points are extracted within one period of the interference waveform. The data are as follows: (unit: Calculate the mean of this set of data: Calculate the median of this data set. After sorting, the median is [1.19, 1.21, 1.25, 1.30, 1.88]. Calculate the difference between the two: To ensure the reliability of the benchmark, experimental verification is required: 100 sets of interference waveforms measured under standard tightening conditions are selected, and the difference between their mean and median is calculated for each. All differences are statistically analyzed, and the difference at the 95th percentile is taken as the final benchmark. It is assumed that through experimental verification, 95% of the sample differences are lower than... Then the instantaneous amplitude fluctuation identification benchmark is set as follows: The advantage of this method is that by calculating the difference between the mean and the median, a benchmark that dynamically reflects the signal dispersion is established, effectively eliminating interference from symmetrical noise and improving the accuracy of instantaneous noise identification. Subsequently, [further details are needed]. The main phase data segment acquired below (unit: Calculate the amplitude difference component between adjacent points: The absolute value of the difference component is compared with the reference. Compare, and Remove data at the corresponding time point. Based on the remaining principal phase data Reconstruct the phase fluctuation continuity sequence, and... The point in time (e.g.) This is constructed as a set of fluctuating abnormal intervals.

[0068] S103: Based on the set of fluctuating abnormal intervals, by adjusting the frequency and amplitude of the excitation signal, equalizing the superimposed interference, calculating the interface combined with the stability coefficient, and establishing connection coupling characteristic information;

[0069] According to the set of abnormal fluctuation intervals ( ),show Data instability exists at certain frequencies. This can be addressed by adjusting the frequency and amplitude of the excitation signal, i.e., performing a frequency scan. ) and amplitude scanning ( ).exist and Under the combined conditions, the noise removal process of S102 was re-executed, and no new abnormal fluctuation ranges were found. At this time, the equalization superposition interference, in Under certain conditions, data was continuously collected for 1000 cycles, and the stability coefficient was calculated using the interface. The calculation process was as follows: The change in phase difference (e.g., in S101) was statistically analyzed over 1000 cycles. (less than) The number of cycles (stable cycle threshold) is counted as... Obtain the average reflection delay in S101. Calculate the average waveform energy in the interference region. Interface stability coefficient Substitute the example data: Set the stability coefficient range: greater than 25 is "stable", 15-25 is "concerned", and less than 15 is "loose". This result indicates that the current interface bonding state is stable. Finally, connection coupling characteristic information is established, with the following content: {stability coefficient: 27.22, optimal frequency:} Optimal amplitude: ,State: Stable}

[0070] Please see Figure 3 The specific steps for obtaining fatigue concentration gradient information are as follows:

[0071] S201: Obtain connection coupling characteristic information, call the fundamental frequency and harmonic vibration data of the conductor connection segment, analyze the phase change rate of the harmonic signal at each measuring point, filter the time series change data of each measuring point, and establish a harmonic phase rate data group;

[0072] Obtain connection coupling characteristic information and confirm the stability coefficient. The status is "stable," meeting the prerequisite for vibration analysis. The fundamental and harmonic vibration data of the conductor connection segment are retrieved, i.e., five measuring points (P1 to P5, spaced apart) are set along the hardware connection segment. Vibration signals were collected using an accelerometer. Analysis showed that the current fundamental frequency vibration of the conductor (wind-induced vibration) was... Select its third harmonic signal ( ) to be analyzed. For measuring point P1 at The phase change rate is analyzed under the following conditions: The phase at time is ,exist The phase at time is ,but to The rate of phase change during the time period is The time-series variation data for each measuring point are filtered, and the filtering criteria are set: if the instantaneous rate at a certain moment (e.g., ...) is high, then the filtering criteria are set. ) exceeding the average rate of the previous 10 seconds at that measurement point (e.g. 2 times (i.e.) If the data is not found at that instant, then that instantaneous data point is discarded. After filtering, the average phase change rate of each measuring point within 1 minute is calculated, and a harmonic phase rate data set is established: {P1: P2: P3: P4: P5: }

[0073] S202: Based on the frequency doubling phase rate data set, calculate the spatial gradient distribution of phase drift between adjacent measurement points, analyze the continuous change of the gradient distribution curve, identify abrupt change points in the spatial curve and locate abrupt change segments, and generate a phase gradient abrupt change interval.

[0074] Based on the frequency doubling phase rate data set {P1:7.1, P2:7.3, P3:7.2, P4:8.9, P5:9.5} (unit: The distance between measuring points is Calculate the spatial gradient distribution of phase drift between adjacent measuring points. Calculation process: Gradient(P1-P2) = Gradient(P2-P3)= Gradient (P3-P4) = Gradient(P4-P5) = The gradient distribution curve data [2.0, -1.0, 17.0, 6.0] was obtained. The continuous changes in the gradient distribution curve were analyzed to identify abrupt change points in the spatial curve. The identification criterion for abrupt change points was: calculating the average value of the gradient sequence. Calculate the standard deviation Set the mutation threshold to... Comparing the gradient sequences, we found... Locate the abrupt change region, i.e., the gradient. The corresponding physical space between P3 and P4 generates a phase gradient abrupt change interval [P3, P4].

[0075] S203: Call the phase gradient abrupt change interval, determine the offset relationship between the phase change direction of the target section and the force direction of the conductor, optimize the smoothness of the frequency harmonic signal curve, calculate the degree of fatigue accumulation through spatial distribution differences, and establish fatigue concentration change gradient information;

[0076] Call the phase gradient abrupt change interval [P3, P4]. Determine the relationship between the phase change direction of the target section and the offset of the conductor's force direction: the vector of the conductor's main force direction (axial direction) measured by strain gauges is... The vibration torsional vector of this section is calculated using the phase difference between P3 and P4. Calculate the angle between the two vectors. The smoothness of the harmonic signal curve is optimized by processing the original vibration time series data in the P3 to P4 section using a five-point cubic smoothing algorithm (a local polynomial fitting) to remove glitch. The degree of fatigue accumulation and the fatigue accumulation index are calculated based on spatial distribution differences. The calculation method is as follows: Substitute the data from S202: , ; .calculate: The fatigue accumulation index range is set as follows: less than 100 is "low risk", 100-150 is "medium risk" and greater than 150 is "high risk". Located in the "medium risk" range. This result indicates a significant fatigue concentration trend in the P3 to P4 segment. A fatigue concentration change gradient was established: {Interval: [P3, P4], Gradient value: 17.0, Fatigue index: 132, Status: Medium risk}.

[0077] Please see Figure 4 The specific steps for obtaining the grip offset angle configuration are as follows:

[0078] S301: Based on fatigue concentration gradient information, call the temperature monitoring data of each coordinate along the conductor, analyze the temperature distribution at multiple locations, compare the temperature changes in the conductor's axial and radial directions, and generate a temperature directionality data set.

[0079] Based on the fatigue concentration gradient information, the interval [P3, P4] (fatigue index 132) was identified. Temperature monitoring data at each coordinate along the conductor was retrieved, i.e., fiber optic temperature sensors (FOTS) were deployed at positions P3 and P4 to monitor axial and radial temperatures. The temperature distribution at multiple locations was analyzed, comparing the temperature variations along the conductor's axial and radial axes. Specific data are shown in Table 1.

[0080] Table 1 Temperature Monitoring Table for Fatigue Zone

[0081]

[0082] As shown in Table 1, the axial and radial temperatures were collected at two monitoring points, P3 and P4. At point P3, the axial temperature difference was... (5cm along the axial direction); radial temperature difference is (1cm radially). Data for point P4 is similar. Summarize the data from P3 and P4 to generate the temperature directionality data set: {P3_Axial_Delta:+0.6°C / 5cm,P3_Radial_Delta:+5.3°C / 1cm,P4_Axial_Delta:+0.7°C / 5cm,P4_Radial_Delta:+5.2°C / 1cm}.

[0083] S302: Based on the temperature directionality data set, compare the rates of axial and radial temperature change, determine the dominant trend of heat conduction direction, analyze the influence of temperature distribution on the gripping stress direction, establish the correspondence of directional components after temperature decomposition, and establish a set of temperature stress component relationships.

[0084] Based on the temperature directionality data set, compare the rates of axial and radial temperature change. Taking point P3 as an example: Axial rate = Radial velocity = To determine the dominant trend of heat conduction direction, due to... The dominant direction of heat conduction was determined to be radial (from the conductor core to the surface fittings). The influence of temperature distribution on the gripping stress direction was analyzed, specifically the radial temperature difference. This causes the conductor (aluminum, coefficient of thermal expansion) to... The expansion of the metal fittings (steel, coefficient of thermal expansion) is much greater than that of the fittings. This increases the radial holding stress (compressive stress); while the axial temperature difference ( This leads to axial shear stress between the fitting and the conductor. The correspondence between the directional components after temperature decomposition is established: ; Establish a set of temperature stress component relationships: {Dominant trend: radial, radial stress effect: increasing, axial stress effect: shear}.

[0085] S303: Based on the temperature stress component relationship set, adjust the torque distribution ratio at the end of the fitting, optimize the consistency of the grip stress direction in combination with the dominant heat conduction direction, calculate the stress direction offset change rate, and generate the grip offset angle configuration.

[0086] Based on the temperature stress component relationship set, axial shear stress is found in the [P3,P4] section. The torque distribution ratio at the hardware end (assuming it is fastened by 8 bolts) is adjusted. The original installation torque was for all bolts. The torque of the four bolts on the P3 side (the source of shear stress) has been reduced. Adjusted to Adjust the torque of the four bolts on the P4 side. Adjusted to The consistency of the gripping stress direction is optimized by combining the dominant heat conduction direction (radial), i.e., by distributing the axial moment unevenly to reduce the angle between the synthesized mechanical gripping force vector and the thermal stress vector (radial dominant). The rate of change of stress direction offset is calculated: before adjustment, the offset relationship in S203 is measured ( After adjustment, the offset relationship was remeasured to obtain a new offset angle. Offset change rate = (angle before adjustment - angle after adjustment) / angle before adjustment = (Right now Set the effective threshold for the rate of change of offset to... . This result indicates that the torque adjustment is effective. Grip offset angle configuration is generated: {P3 zone torque:} Torque in region P4: Expected offset angle: }

[0087] Please see Figure 5 The specific steps for obtaining the winding turn adjustment ratio information are as follows:

[0088] S401: Based on the grip offset angle configuration, call the wire tension monitoring data during the winding stage, analyze the fluctuation trend of wire tension during the winding process, calculate the correlation between the tension change rate and the winding angle change, and generate a tension angle correlation group.

[0089] Based on the grip offset angle configuration, this configuration will serve as the target parameter during the installation (or maintenance reinstallation) of pre-stretched fittings. The wire tension monitoring data during the winding stage is retrieved, meaning that the tension sensor is monitored in real time while the installation robot performs the winding action. The fluctuation trend of the wire tension during the winding process is analyzed. (angle )tension , (angle )tension , (angle )tension The trend is upward. To calculate the correlation between the rate of tension change and the change in winding angle, 10 sets of synchronous data were collected, and the relationship between the rate of tension change and the change in winding angle was calculated. ) and (rate of change of angle) Two sequences. Data sequence X (angular rate, ): [20,22,19,20,21,18,20,22,19,21]; Data sequence Y(tension rate, The Pearson correlation coefficient between X and Y is calculated as follows: [0.15, 0.17, 0.14, 0.15, 0.16, 0.13, 0.15, 0.17, 0.14, 0.16]. Generate tension angle correlation groups: {correlation coefficient:} }

[0090] S402: Based on the tension angle correlation group, compare the synchronicity of the tension response curve and the winding angle change curve, determine the degree of coordination between the two, analyze the influence of the number of turns on the tension fluctuation, extract the relationship between synchronicity and the number of turns fluctuation, and form the winding number of turns change characteristics;

[0091] Based on the tension angle correlation group, the correlation coefficient is obtained. Compare the synchronicity of the tension response curve and the winding angle change curve to determine their degree of coordination. Set a coordination range: For "high coordination", A value between 0.9 and 0.98 is considered "medium coordination". It is described as "low coordination". This result indicates a "highly coordinated" winding process. The effect of varying the number of turns on tension fluctuation was analyzed: the standard deviation of tension fluctuation after installation was tested when 5, 6, and 7 turns were wound. Test results: at 5 turns, the fluctuation... At 6 laps, fluctuations At 7 laps, fluctuations Extracting the relationship between synchronicity and cycle number fluctuation, i.e., in "high coordination" (… Under the premise that the number of revolutions exceeds 6, the tension fluctuation increases significantly. Threshold). Characteristics of changes in the number of wrapping turns: {5 turns:} },{6 laps: },{7 laps: (Not recommended)

[0092] S403: Based on the characteristics of changes in the number of winding turns, adjust the angle step and the number of turns distribution ratio of the winding equipment, evaluate the balance of the force distribution on the conductor, and generate winding turn adjustment ratio information;

[0093] Based on the characteristics of the change in the number of winding turns, the volatility of 7 turns is determined. The torque is too high. Adjust the angle step and turn distribution ratio of the winding equipment to match the torque configuration of S303. (P3 area:) P4 area: The P3 zone corresponds to a lower torque, and the P4 zone corresponds to a higher torque. Adjustment scheme: 6.0 turns are used in the P3 zone, and the angle step (winding rate) is set to... The P4 area uses 6.5 circles (adding half a circle to increase grip strength), with the angle gradually decreasing to... (Slow winding to ensure stable tension). Assess the evenness of the force distribution on the conductor: After adjustment, measure the final tension in region P3. The final tension in region P4 is Balance Set the balance threshold to... . This result indicates balanced force. Information on the winding turn adjustment ratio is generated: {P3 turns: 6.0, P3 speed:} P4 lap count: 6.5, P4 speed: Balance: }

[0094] Please see Figure 6 The specific steps for obtaining energy conversion rate information in the fastened state are as follows:

[0095] S501: Based on the information on the winding number adjustment ratio, call the micro-vibration and stress response monitoring data of the hardware connection section, analyze the changes in the conductor vibration input energy and structural return energy during the operating cycle, calculate the conversion ratio between energy input and energy return, and generate an energy conversion ratio sequence.

[0096] Based on the winding turn adjustment ratio information, it was confirmed that the hardware was installed according to the formula {P3: 6.0 turns, P4: 6.5 turns}. The micro-vibration and stress response monitoring data of the hardware connection section were retrieved, i.e., under normal conductor operating conditions (e.g., ...). (Wind-induced vibration). Analyze the changes in the input energy of conductor vibration and the energy transmitted back to the structure during the operating cycle: At a certain moment, the vibration input energy (from the conductor) is measured. Energy is returned to the structure (the metal fittings reflect the return wire). Calculate the conversion ratio between energy input and energy return (i.e., the structural damping dissipation ratio): Substitute data: Data was collected continuously for 5 sampling periods (once per minute), and the energy conversion ratio sequence was calculated as: [0.8077, 0.8051, 0.8092, 0.8065, 0.8080].

[0097] S502: Based on the energy conversion ratio sequence, the trend of the energy conversion sequence of continuous sampling period is compared to determine the fluctuation of the energy conduction process, analyze the correspondence between energy conversion changes and structural stability, extract the energy fluctuation and structural stability characteristics, and generate energy structure stability parameters.

[0098] Based on the energy conversion ratio sequence [0.8077, 0.8051, 0.8092, 0.8065, 0.8080], the trend of the energy conversion sequence over consecutive sampling periods is compared to determine the fluctuation of the energy transfer process; the standard deviation of the sequence is calculated. Set a volatility threshold (verified experimentally): For "stability"; It means "loosened". This result indicates that the energy conduction process has extremely low fluctuations and the structure is stable. Analysis of the correspondence between energy conversion changes and the structural stable state reveals: high conversion rate (mean...) And low volatility ( The state of the fitting corresponds to the efficient dissipation of the conductor's vibration energy, indicating that the two are tightly fitted and there is no microscopic slippage. Energy fluctuation and structural stability characteristics are extracted to generate energy-structure stability parameters: {mean conversion rate: 0.8073, fluctuation (StdDev): 0.00158, structural state: stable}.

[0099] S503: Based on the energy structure stability parameters, optimize the matching between energy conduction ratio and stress response, calculate the rate of change of energy conversion sequence, integrate matching features and rate of change, and generate energy conversion rate information in the fastened state.

[0100] Based on the energy structure stability parameters {mean: 0.8073, fluctuation: 0.00158, state: stable}, the energy conduction ratio (0.8073) and stress response (expected offset angle in S303) are optimized. Matching status: Current state is high conductivity, low volatility, and low stress offset. This is determined to be the optimal matching state, requiring no further adjustment. The rate of change of the energy conversion sequence is calculated: obtain the average conversion rate from the previous monitoring period (e.g., 1 hour ago). Current mean Rate of change = (Right now Set the rate of change threshold to... . Integrating matching features (optimal matching) with rate of change ( Generates energy conversion rate information for the fastened state: {Conversion rate: 0.8073, Fluctuation: 0.00158, Rate of change:} Tightening status: Confirmed stable.

[0101] Please see Figure 7 A pre-stretched fitting anti-loosening control system, comprising:

[0102] The interference coupling identification module calls the double-ended stress wave data, analyzes the propagation direction of the excitation signal, judges the phase difference change by synthesizing the interference waveform, compares the stability of the change within a continuous period, identifies and removes noise sequences, adjusts the frequency and amplitude, calculates the interface combined with the stability coefficient, and establishes connection coupling characteristic information.

[0103] The fatigue gradient extraction module calls the fundamental and harmonic vibration data of the conductor connection segment based on the connection coupling characteristic information, analyzes the harmonic phase change rate, calculates the phase drift gradient between measuring points, identifies abrupt change sections, determines the relationship between the change direction and the conductor force offset, calculates the degree of fatigue accumulation, and establishes fatigue concentration change gradient information.

[0104] The thermal offset coordination module uses fatigue concentration gradient information, calls conductor temperature monitoring data, analyzes the temperature distribution along the line, calculates the ratio of axial and radial temperature differences, determines the dominant direction of heat conduction, adjusts the torque distribution ratio, calculates the rate of change of stress direction offset, and generates the grip offset angle configuration.

[0105] The winding count control module calls up tension data based on the grip offset angle configuration, analyzes the tension fluctuation during the winding process, calculates the correlation between the tension change rate and the angle change, judges the response synchronicity, adjusts the angle step and the number of turns allocation, and generates winding count adjustment ratio information.

[0106] The energy stability assessment module uses the winding number adjustment ratio information, calls up micro-vibration and stress data, analyzes the change law of vibration energy and structural energy, calculates the conversion ratio, judges the relationship between energy conduction and structural state, calculates the rate of change, and generates energy conversion rate information of the fastened state.

[0107] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for controlling the loosening of pre-stretched fittings, characterized in that, Includes the following steps: S1: Call the double-ended stress wave data, analyze the propagation direction of the excitation signal, judge the phase difference change by interferometric waveform synthesis, compare the stability of the change in continuous period, identify and remove noise sequences, adjust the frequency and amplitude, calculate the interface combined with the stability coefficient, and establish connection coupling characteristic information. The specific steps for obtaining the connection coupling feature information are as follows: S101: Call the double-ended stress wave data to obtain the stress wave excitation signals at both ends of the fitting, analyze the propagation direction of the excitation signals, compare the continuous periodic main phase data in the waveform synthesis signal of the interference zone, identify the dynamic change characteristics of the phase difference, and combine the reflection delay signal to obtain the interference waveform change data. S102: Based on the interference waveform change data, compare the fluctuation characteristics of each signal segment and determine its stability, eliminate instantaneous noise sequences, and generate a set of fluctuation anomaly intervals; S103: Based on the set of abnormal fluctuation intervals, by adjusting the frequency and amplitude of the excitation signal, equalizing the superimposed interference, calculating the interface combined with the stability coefficient, and establishing connection coupling characteristic information; S2: Based on the connection coupling characteristic information, call the fundamental frequency and harmonic vibration data of the conductor connection segment, analyze the harmonic phase change rate, calculate the phase drift gradient between measuring points, identify abrupt change sections, determine the offset relationship between the phase change direction of the target section and the force direction of the conductor, calculate the degree of fatigue accumulation, and establish fatigue concentration change gradient information. The specific steps for obtaining the fatigue concentration change gradient information are as follows: S201: Obtain the connection coupling characteristic information, call the fundamental frequency and harmonic vibration data of the conductor connection segment, analyze the phase change rate of the harmonic signal at each measuring point, filter the time-series change data of each measuring point, and establish a harmonic phase rate data group; S202: Based on the frequency doubling phase rate data set, calculate the gradient distribution of phase drift between adjacent measurement points in space, analyze the continuous change of the gradient distribution curve, identify abrupt change points in the spatial curve and locate abrupt change segments, and generate a phase gradient abrupt change interval. S203: Call the phase gradient abrupt change interval, determine the offset relationship between the phase change direction of the target section and the force direction of the conductor, optimize the smoothness of the frequency doubling signal curve, calculate the degree of fatigue accumulation through spatial distribution differences, and establish fatigue concentration change gradient information; S3: Based on the fatigue concentration gradient information, call the conductor temperature monitoring data, analyze the temperature distribution along the line, calculate the ratio of axial and radial temperature differences, determine the dominant direction of heat conduction, adjust the torque distribution ratio, calculate the stress direction offset change rate, and generate the grip offset angle configuration. The specific steps for obtaining the grip offset angle configuration are as follows: S301: Based on the fatigue concentration gradient information, call the temperature monitoring data of each coordinate along the conductor, analyze the temperature distribution at multiple locations, compare the temperature changes in the conductor's axial and radial directions, and generate a temperature directionality data set. S302: Based on the temperature directionality data set, compare the rates of axial and radial temperature changes, determine the dominant trend of heat conduction direction, analyze the influence of temperature distribution on the gripping stress direction, establish the correspondence of directional components after temperature decomposition, and establish a set of temperature stress component relationships. S303: Based on the set of temperature stress component relationships, adjust the torque distribution ratio at the end of the fitting, optimize the consistency of the grip stress direction in combination with the dominant direction of heat conduction, calculate the stress direction offset change rate, and generate the grip offset angle configuration. S4: Based on the grip offset angle configuration, call the tension data, analyze the tension fluctuation during the winding process, calculate the correlation between the tension change rate and the angle change, determine the response synchronization, adjust the angle step and the number of turns, and generate the winding turn adjustment ratio information; The specific steps for obtaining the winding turn adjustment ratio information are as follows: S401: Based on the grip offset angle configuration, call the wire tension monitoring data during the winding stage, analyze the fluctuation trend of wire tension during the winding process, calculate the correlation between the tension change rate and the winding angle change, and generate a tension angle correlation group. S402: Based on the tension angle correlation group, compare the synchronicity of the tension response curve and the winding angle change curve, determine the degree of coordination between the two, analyze the influence of the number of turns on the tension fluctuation, extract the relationship between synchronicity and the number of turns fluctuation, and form the winding number of turns change characteristics; S403: Based on the changes in the number of winding turns, adjust the angle step and the number of turns distribution ratio of the winding equipment, evaluate the balance of the force distribution on the conductor, and generate winding turn adjustment ratio information.

2. The method for preventing loosening of pre-stretched fittings according to claim 1, characterized in that, The process of removing instantaneous noise sequences is as follows: For the main phase data within a continuous period in the waveform synthesis signal within the interference zone, the amplitude difference component between each adjacent time point is calculated. The amplitude difference component is compared with the instantaneous amplitude fluctuation identification benchmark. When any amplitude difference component exceeds the instantaneous amplitude fluctuation identification benchmark, the main phase data segment at the corresponding time point is removed. The phase fluctuation continuity sequence is reconstructed based on the remaining main phase data to construct the fluctuation anomaly interval set. In the interference waveform after the excitation signal frequency is adjusted, the amplitude of each principal phase data in the same period is extracted, the difference between the mean and the median is calculated, and the difference is used as the instantaneous amplitude fluctuation identification benchmark.

3. The method for preventing loosening of pre-stretched fittings according to claim 1, characterized in that, The method further includes: S5: Based on the winding turn adjustment ratio information, call up micro-vibration and stress data, analyze the change law of vibration energy and structural energy, calculate the conversion ratio, determine the relationship between energy conduction and structural state, calculate the rate of change, and generate energy conversion rate information of the fastened state. The energy conversion rate information in the fastened state specifically refers to the energy conversion ratio sequence, structural stress response coefficient, and conduction change rate.

4. The method for preventing loosening of pre-stretched fittings according to claim 3, characterized in that, The specific steps for obtaining the energy conversion rate information in the fastened state are as follows: S501: Based on the winding turn adjustment ratio information, call the micro-vibration and stress response monitoring data of the hardware connection section, analyze the changes in conductor vibration input energy and structural return energy during the operating cycle, calculate the conversion ratio between energy input and energy return, and generate an energy conversion ratio sequence. S502: Based on the energy conversion ratio sequence, compare the trend of the energy conversion sequence of the continuous sampling period, determine the fluctuation of the energy conduction process, analyze the correspondence between energy conversion changes and structural stability, extract the energy fluctuation and structural stability characteristics, and generate energy structure stability parameters. S503: Based on the energy structure stability parameters, optimize the matching between energy conduction ratio and stress response, calculate the rate of change of energy conversion sequence, integrate matching features and rate of change, and generate energy conversion rate information for the fastened state.

5. A pre-stretched fitting anti-loosening control system, characterized in that, The system is used to implement the pre-stretched fitting anti-loosening control method according to any one of claims 1-4, the system comprising: The interference coupling identification module calls the double-ended stress wave data, analyzes the propagation direction of the excitation signal, judges the phase difference change by synthesizing the interference waveform, compares the stability of the change within a continuous period, identifies and removes noise sequences, adjusts the frequency and amplitude, calculates the interface combined with the stability coefficient, and establishes connection coupling characteristic information. The fatigue gradient extraction module, based on the connection coupling feature information, calls the fundamental and harmonic vibration data of the conductor connection segment, analyzes the harmonic phase change rate, calculates the phase drift gradient between measuring points, identifies abrupt change sections, determines the relationship between the change direction and the conductor force offset, calculates the degree of fatigue accumulation, and establishes fatigue concentration change gradient information. Based on the fatigue concentration gradient information, the thermal offset coordination module calls the conductor temperature monitoring data, analyzes the temperature distribution along the line, calculates the ratio of axial and radial temperature differences, determines the dominant direction of heat conduction, adjusts the torque distribution ratio, calculates the stress direction offset change rate, and generates the grip offset angle configuration. The winding number control module calls the tension data according to the grip offset angle configuration, analyzes the tension fluctuation during the winding process, calculates the correlation between the tension change rate and the angle change, judges the response synchronicity, adjusts the angle step and the number of windings distribution, and generates winding number adjustment ratio information. The energy stability assessment module uses the winding number adjustment ratio information to call up micro-vibration and stress data, analyzes the change law of vibration energy and structural energy, calculates the conversion ratio, judges the relationship between energy conduction and structural state, calculates the rate of change, and generates energy conversion rate information of the fastened state.

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