Power transmission line fitting multi-element perception failure assessment method and system

Abstract

The invention relates to the technical field of state monitoring, in particular to a power transmission line fitting multi-element perception failure assessment method and system, and the method comprises the steps: obtaining a fitting response section, extracting starting and ending points, searching amplitude interruption, monitoring peak and valley changes, recognizing structure transition, calling front and back paths, recognizing an offset point, tracking direction fluctuation, extracting a main path, and extending a missing section. And comparing the trend access segment, the classification rhythm, the pairing jump and the repetitive response to obtain a fitting failure trend feature set. According to the method, the structure interruption position in the hardware fitting response curve is identified, the direction continuous section and the offset section are divided, the included angle sudden change point is extracted, the path extension relation is tracked, the jump area and the repeated response section are separated, the path loss caused by fluctuation fracture is complemented, and the interference of direction sudden change on trend judgment is weakened; and the turning position and the fluctuation rhythm are combined to identify the fatigue path trend, and the perception integrity and the path continuity of the failure trend under the multi-disturbance condition are enhanced.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of state monitoring, in particular to a power transmission line hardware multi-element sensing failure evaluation method and system. BACKGROUND

[0002] The technical field of state monitoring includes multi-source sensing and real-time evaluation of the physical state of running equipment, environmental interference and its evolution process. The core content of this technical field is to judge the running stability, reliability and potential failure mode of the equipment through physical quantity monitoring methods such as strain, current, voltage, acceleration and temperature. The entire system usually includes sensor nodes, data acquisition devices, transmission networks and analysis platforms, and realizes state sensing, event identification and trend inference through online or distributed methods, and is widely used in engineering fields such as power, transportation, rail and aviation. In order to ensure the continuous and stable operation of large-scale systems, this field is developing towards the integration of sensing, low-power energy supply, wireless data transmission and edge computing.

[0003] Among them, the power transmission line hardware multi-element sensing failure evaluation method refers to the fatigue damage behavior that may occur in key hardware components such as intermediate spacers, strain clamps and joint pipes in the power transmission line under the action of long-term wind vibration or dancing load. By analyzing the structural mechanical properties and investigating the installation conditions, monitoring parameters such as strain, acceleration, frequency and amplitude are set, acceleration sensors and angular velocity sensors are used to collect vibration response signals, and fatigue characteristic indexes such as dynamic bending strain and bending amplitude are converted and obtained. Real-time clock synchronization and LORA wireless network are used to complete data return; data is sent to the ground receiving platform through the 4G transmission link of the tower concentrator, and a CT or solar power supply mechanism is designed according to the electromagnetic environment to realize independent deployment and energy self-sustaining of the sensing node, and then comprehensive identification and evaluation of fatigue damage and failure state are completed. This method is based on multi-physical quantity linkage sensing, integrates sensing, self-power supply, wireless communication and intelligent analysis, and is used to establish a line hardware failure state judgment process based on dynamic working conditions.

[0004] The existing technology relies on continuous sensing features in a single data collection process for state identification. When the response data segment is short and intermittent or the direction changes suddenly, there is a lack of correlation verification means between multiple path segments, and it is impossible to determine whether the change is caused by abnormal response or path interruption. In the stress concentration area or connection component part, the original system is difficult to trace the disconnection relationship between the breaking point and the main path, often treats the subsequent segment of the breaking point as a new path, causing the fatigue propagation trend to be segmented. If the angle change area is frequently distributed in the data, the judgment logic is easy to fall into repeated accumulation of fragments and lose the overall direction judgment basis, misleading the evaluation results of the actual fatigue state of the hardware. SUMMARY

[0005] The application aims at the technical problems in the prior art and provides a power transmission line fitting multi-element sensing failure evaluation method.

[0006] The technical scheme for solving the above technical problem is as follows: a power transmission line fitting multi-element sensing failure evaluation method, comprising the following steps: S1: obtaining the response paragraphs of the spacer and strain clamp under the micro-wind working condition of the power transmission line fitting, extracting the start and end points of the curve, searching for the amplitude interruption area, monitoring the peak and valley changes, identifying the structure transition position, and obtaining the list of structure response continuity missing sections; S2: based on the list of structure response continuity missing sections, calling the node conduction path before and after the missing section, identifying the offset mutation point, tracking the direction fluctuation according to the angle change, labeling the structure trend boundary, and obtaining the fitting direction offset structure path distribution list; S3: based on the fitting direction offset structure path distribution list, analyzing the flow consistency at both ends of the migration section, combining the angle trend and peak stability to extract the main path section, excluding the mutation segment, and obtaining the direction stable stress response main section calibration set; S4: based on the direction stable stress response main section calibration set, extending the path at both ends of the missing section, extracting the amplitude and angle change of the interpolation section, comparing with the main path trend, and connecting the direction coherent segment to obtain the main path connection state update information set; S5: based on the main path connection state update information set, extracting the direction trend and rhythm of the propagation section, classifying the transfer sequence, pairing the frequency band and repeated response area of the jump, and obtaining the fitting failure trend feature set.

[0007] As a further scheme of the application, the list of structure response continuity missing sections includes start and end point coordinates, amplitude interruption sections, peak and valley point arrangement modes, and structure transition characteristics, the fitting direction offset structure path distribution list includes angle offset mutation points, conduction path joint angles, stress guide sections, and direction misalignment boundaries, the direction stable stress response main section calibration set includes main path section angle continuation trend, peak stability segment, and direction mutation exclusion section, the main path connection state update information set includes main path continuation section, interpolation direction change section, and trend consistency connection section, and the fitting failure trend feature set includes propagation direction, repeated oscillation times, direction mutation point dense area, propagation interruption section quantity, and disturbance propagation rhythm.

[0008] As a further scheme of the application, the specific steps of S1 are as follows: S101: obtaining the response collection paragraphs of the spacer and strain clamp parts under the micro-wind working condition of the power transmission line fitting, dividing the start and end range of each response curve, arranging the amplitude fluctuation process sequence, marking the boundary of the section where the interruption position is located, and obtaining the amplitude extension interruption section sequence; S102: Based on the amplitude extension interruption segment sequence, the intervals between peak points and valley points are listed sequentially from the interruption segments, and the continuous wave segments in the wave peak and valley arrangement state that show distribution shift are marked to obtain an abnormal waveform arrangement feature list. S103: Based on the abnormal waveform arrangement feature list, analyze the changes in amplitude trend and deformation extension trend, locate the trend break zone at each connection point, delineate the response segment interval where the continuous trend is interrupted, and obtain a list of structural response continuity missing segments.

[0009] As a further aspect of the present invention, the specific steps of S2 are as follows: S201: Based on the list of missing segments in the structural response continuity, call the node sequences at both ends of the missing segment, pair the direction vectors, compare the extension directions of adjacent nodes, calibrate the direction transmission difference terms, and obtain the boundary direction offset relationship group; S202: Based on the boundary direction offset relationship group, extract the angle combination and the path junction position, track the angle change trend, calculate the average angle value of adjacent angle segments, delineate the direction turning position, and obtain the path turning transition interval identifier set; S203: Call the path turning transition interval identifier group to sort out the alternating segments of the trend, collect the trend of each segment of directional change and the misalignment boundary position, and obtain the hardware directional offset structure path distribution list.

[0010] As a further aspect of the present invention, the formula for calculating the average included angle value of adjacent included angle segments is as follows: ; This represents the average included angle value of adjacent included angle segments. Representing the The angle formed between the direction vector of the current path segment and the direction vector of the previous path segment. Representing the The included angle of the path direction of the segment. Represents path segment The Euclidean distance between the start node and the end node. Represents path segment The length of the direction vector formed, This represents the total number of direction segments used in the calculation.

[0011] As a further aspect of the present invention, the specific steps of S3 are as follows: S301: Based on the distribution list of the hardware direction offset structure path, the guide vectors of the starting and ending nodes of the corresponding positioning direction migration segment are analyzed. The angle trend between the node guide vectors is analyzed, the segments that deviate from the continuous trajectory are screened and their positions are marked to obtain the guide offset path point set. S302: Based on the guide offset path point set, extract each segment angle change trajectory, calculate the angle trend fluctuation frequency according to the change of the angle formed by each segment guide vector and the adjacent segment, mark the section with continuous change amplitude distribution, and obtain the angle trend disturbance section set; S303: Call the angle trend disturbance section set and the guide offset path point set, mark the continuous trend consistent trajectory in the migration section, and classify the continuous section into the same direction channel to obtain the direction stable stress response main section calibration set.

[0012] As a further scheme of the present application, the calculation formula of the angle trend fluctuation frequency is specifically: ; represent the first segment angle trend fluctuation frequency, represent the first segment and the first segment angle difference of the guide vector, represent the first segment angle difference normalization weight, represent the first segment guide vector angle difference, represent the arithmetic mean of the segment angle difference, represent the number of segments participating in the angle trend analysis, represent the first segment guide vector angle original value, represent the first segment guide vector angle original value, is the segment number index participating in the calculation of the standard deviation sum.

[0013] As a further scheme of the present application, the specific steps of S4 are: S401: Based on the direction stable stress response main section calibration set, linearly splice the path at both ends of the missing section, extend the direction trajectory of the vector segment on both sides, arrange the distribution trend of the continuous amplitude sequence and the angle change along the extended path, and obtain the direction extension path information set; S402: Call the direction extension path information set, combine the path direction trend of the adjacent main section, calculate the trend fitting difference in the angle fluctuation section, analyze the direction offset distribution relationship between the continuous section and the main path, and obtain the trend comparison difference distribution structure; S403: Based on the trend comparison difference distribution structure and the direction extension path information set, match the blank section range covered by the main section trend extension, and obtain the main path connection state update information set.

[0014] As a further scheme of the present application, the specific steps of S5 are: S501: Based on the main path connection state update information set, the direction change interval of the main path continuation section, the interpolation section and the broken section is divided, the change trend of the interval propagation direction is identified, the number of repeated oscillations in the interval and the distribution position of the continuous direction section are counted, and the path direction oscillation distribution data is obtained; S502: Based on the path direction oscillation distribution data, the change order of the inter-section propagation direction is corresponded, the location of the direction mutation point set is identified, the number of the set point section and the broken section is matched, and the mutation point and the broken section association map is obtained; S503: Based on the mutation point and the broken section association map, the interval structure and the pitch sequence of the direction change in the disturbance section are tracked, the disturbance trend of each section is extended according to the sequence structure change, and the fitting failure trend feature set is obtained.

[0015] A power transmission line fitting multi-element perception failure evaluation system, comprising: The structural response loss identification module obtains the state response collection section of the spacer and the strain clamp part under the micro-wind working condition of the power transmission line fitting, extracts the start and end points of each response curve, retrieves the continuous change and interruption section appearing in the amplitude trend, monitors the arrangement order change of the peak and valley points in the corresponding section, divides the response section according to the trend mutation position and the transition characteristics of the structure connection, and obtains the structural response continuity loss section list; The direction offset path identification module identifies the position of the direction offset mutation based on the structural response continuity loss section list, calls the direction conduction state of the nodes before and after the missing section, identifies the position of the direction offset mutation, continuously tracks the direction change according to the joint angle of the offset point and the conduction path, identifies the structural turning connection relationship existing along the way, divides the distribution boundary of each section of the direction trend and the offset dislocation, and obtains the fitting direction offset structure path distribution list; The direction main sequence extraction module analyzes the flow relationship of the two ends of the direction migration section based on the fitting direction offset structure path distribution list, judges whether there is a section with inconsistent direction trend, identifies the main sequence of the direction conduction according to the continuity of the direction trend inside the main path section and the stable trend of the peak and valley arrangement, eliminates the non-continuous section of the direction mutation, and obtains the direction stable stress response main section calibration set; The trend extension calibration module extracts the direction trend of the two ends of the missing section and the amplitude change trend of the adjacent nodes based on the direction stable stress response main section calibration set, extends the direction structure of the missing section, matches the trend consistency of the extended section and the main path section, identifies the section that can continuously connect the trend trend, and completes the trend of the broken position, and obtains the main path connection state update information set; The failure trend feature extraction module extracts the propagation trend and vibration change of the main path continuation section, the trend interpolation section and the structure fracture section based on the main path connection state update information set, combs the direction conversion relationship between each section, analyzes the distribution characteristics of the direction offset points, extracts the characteristic elements reflecting the structure continuity, direction stability and trend disturbance in combination with the trend interruption position and the direction change dense area, and obtains the fastener failure trend feature set.

[0016] The beneficial effects of the present application are: by identifying the structure interruption position in the fastener response curve, dividing the direction continuous section and the offset section, extracting the angle mutation point, tracking the path extension relationship, separating the jump area and the repeated response section, supplementing the path loss caused by the fluctuation fracture, weakening the interference of direction mutation on trend judgment, identifying the fatigue path trend in combination with the turning position and fluctuation rhythm, and enhancing the perception integrity and path continuity of the failure trend under the condition of multiple disturbances. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 The main step schematic diagram of the present application is shown in the figure. Figure 2 The system module diagram of the present application is shown in the figure. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described in combination with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0019] In the description of the present application, the terms "first", "second" are only used for description purpose, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0020] In the description of the present application, the term "for example" is used to indicate "serving as an example, instance, or illustration." Any embodiment described as "for example" in this application is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, for the purpose of explanation, details are set forth. It should be appreciated that one of ordinary skill in the art can realize and implement the application without using these specific details. In other instances, well-known structures and processes are not elaborated in order not to obscure the description of the application with unnecessary details. Therefore, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

[0021] Embodiment 1, see Figure 1 The present application provides a technical solution: a power transmission line hardware multi-element perception failure evaluation method, comprising the following steps: S1: Obtain the state response collection section of the spacer and the strain clamp part under the micro-wind working condition of the power transmission line hardware, extract the start and end points of each response curve, retrieve the section with amplitude extension interruption, monitor the arrangement change of the peak and valley points in the corresponding interval, divide the section according to the structure transition characteristics of the trend interruption position, and obtain the list of structure response continuity missing sections; S2: Based on the list of structure response continuity missing sections, call the directional conduction state of the nodes before and after the missing, identify the angle offset mutation point, track the directional fluctuation trend through the joint angle of the offset point and the conduction path, locate the stress guiding section of the turning connection, record the structure trend and directional misalignment boundary of each section, and obtain the hardware directional offset structure path distribution list; S3: Based on the hardware directional offset structure path distribution list, analyze whether there are inconsistent sections in the flow direction at both ends of the directional migration section one by one, identify the directional conduction main sequence according to the angle continuation trend and peak stability in the main path section, exclude the directional mutation area, and classify the remaining part into the main path section, to obtain the directional stable stress response main section calibration set; S4: Based on the directional stable stress response main section calibration set, extend the vectors at both ends of the missing section, extract the amplitude and angle change section associated with the interpolation direction, compare and analyze with the adjacent main section trend, analyze the consistency of the directional continuity and the main path section, and trend extension connects the blank section, to obtain the main path connection state update information set; S5: Based on the main path connection state update information set, extract the propagation direction and repeated oscillation times of the main path continuation section, the interpolation section and the fracture section, group analyze the directional transfer relationship between each section, associate the matching directional mutation point dense area and the number of interruption sections, and extract the directional disturbance characteristics and propagation rhythm, to obtain the hardware failure trend feature set.

[0022] The structural response continuity missing section list includes start and end point coordinates, amplitude interruption section, peak and valley point arrangement mode, structural transition feature, the fitting direction deviation structural path distribution list includes angle deviation mutation point, conduction path joint angle, stress guiding section, direction misalignment boundary, the direction stability stress response main section calibration set includes main path section angle continuation trend, peak stability segment, direction mutation exclusion section, the fitting direction change section, the main path connection state update information set includes main path continuation section, interpolation direction change section, trend consistency connection section, the fitting failure trend feature set includes propagation direction, repeated oscillation number, direction mutation point dense area, propagation interruption section number, disturbance propagation rhythm.

[0023] The specific steps of S1 are: S101: Obtain the response collection section of the spacer and the strain clamp part under the micro-wind working condition of the power transmission line, divide the start and end range of each response curve, arrange the amplitude fluctuation process sequence, and draw the boundary of the section where the interruption position is located to obtain the amplitude extension interruption section sequence. First, the response data collected from the spacer and strain clamp part is divided into collection sections in time sequence. The division work should be carried out in cycles of one vibration process. The fluctuation cycle appearing in the waveform collection is used as the basis for section division. The start and end time of a single section can be set to 10 seconds. At the same time, a corresponding amplitude sequence record list is established for each section of data, and the list is numbered in time sequence. Subsequently, in each amplitude sequence, the fluctuations between the peak and the valley are sequentially arranged. The trend extension state is tracked by determining the time interval change between adjacent peaks or troughs. When the interval between three or more consecutive cycles of peaks is greater than 1.5 times the average interval, it can be defined as an amplitude extension trend interruption point, and the corresponding time section is marked as a potential interruption section. Further, the positions of such interruption points appearing in each section are counted, and the mean and variance of the continuous fluctuation regions on both sides of the interruption points are calculated to detect the continuity change of the trend fluctuation. When the standard deviation is greater than a set reference value σ0 (for example, σ0 is set to 0.8 mm²), it is considered that there is a clear fluctuation turning point in the section. Then, by comparing the amplitude mean value change direction of the continuous sections before and after the section, if the directions are opposite, that is, the mean value first increases and then decreases or first decreases and then increases, it can be considered as a complete interruption section of the extension trend. In specific operation, if the mean value of the previous section in a response section is 2.6 mm, the mean value of the next section is 1.1 mm, and the standard deviation of the middle section is 0.95 mm², the trend interruption condition is met, and the time interval corresponding to the response section is recorded as the boundary of the interruption region. Repeat the above operation to determine the time boundaries of the regions with extension trend interruption in all collection sections. Finally, the number of all response segments that meet the conditions and their time ranges are summarized to obtain the amplitude extension interruption section sequence.

[0024] S102: Based on the amplitude extension interruption section sequence, the intervals between the peak points and the valley points in the interruption paragraph are sequentially listed, the continuous wave segment where the distribution deviation occurs in the peak and valley arrangement state is marked, and the abnormal wave arrangement feature list is obtained; First, the peak points and the valley points in each section are extracted one by one, the peak and valley points in each wave form are listed in sequence according to the collection time, and the time interval between adjacent peaks and valleys is counted. In actual implementation, the sampling frequency can be set to 100 Hz, that is, 100 response data points are recorded per second. A 15-second interruption section is selected, the corresponding response curve is extracted, and the local maximum and minimum values are identified point by point as the peak points and the valley points. For example, the time positions of the peak points appearing in a section are 1.2s, 3.7s, and 6.0s, and the corresponding valley points appear at 2.4s, 4.9s, and 7.2s. The peak-valley pairs formed in the section can be listed in sequence, the time interval between each pair is recorded and sequentially numbered, and in subsequent processing, the difference between adjacent time intervals is calculated according to the numbering sequence. If 3 or more groups of interval differences exceed 1.3 times the average difference, it is considered that there is a wave distribution deviation section. For example, the average interval is 1.2s, and the continuous 3 groups of differences are 1.7s, 1.8s, and 1.9s. It can be determined that there is a distribution deviation trend. In the position section where the deviation trend appears, further check whether the amplitude ordering of the peak value and the valley value appears alternating misplacement, that is, the peak value fails to rise in sequence or the valley value fails to fall in sequence. If the peak value misplacement arrangement occurs at the same time, for example, the amplitudes are 3.4mm, 2.8mm, and 3.9mm, or the valley value fluctuates discontinuously, for example, 1.1mm, 1.7mm, and 1.0mm, it is considered that the continuous wave segment has an abnormal wave arrangement state, the sampling data interval of the section needs to be marked, and the abnormal type identification is attached for archiving. Finally, the abnormal wave arrangement feature list is obtained.

[0025] S103: Based on the abnormal wave arrangement feature list, the change position of the amplitude trend and the deformation extension trend is analyzed, the trend break zone of each section connection is located, the continuous trend interruption response segment interval is drawn, and the structure response continuity missing section list is obtained; First, select the corresponding amplitude trend curve and deformation extension curve in each abnormal paragraph, respectively, according to the time axis, and compare the change position whether there is a response inflection point out of sync, inconsistent trend, etc. In the implementation, a single length of 20 seconds of data segment can be selected as an example, the amplitude peak and valley points in this segment appear at 3.4 seconds, 6.1 seconds and 9.2 seconds, and the turning points of the deformation trend are concentrated at 4.0 seconds, 6.9 seconds and 10.3 seconds. On this basis, whether there is a response lag is judged by comparing the time difference between the points. If the time interval between the amplitude inflection point and the deformation turning point is greater than 1.5 seconds, it is determined that the trend relationship between the two has an abnormal change trend. The response abnormal positions are listed in turn and the corresponding connection sections are marked. Then, the trend direction of the waveform before and after each connection position is compared. For example, if the amplitude decreases from a positive peak to a negative valley, while the deformation extension remains positive, it is determined that this is a trend break area, and the connection interval boundary is recorded. For example, between 6.1 seconds and 6.9 seconds, both the response lag and the opposite trend are met, so this segment can be classified as a continuous response interruption segment. Further stretch the continuous segment trend before and after the interruption segment. If the extension trend cannot be maintained in the connection section, the section will be divided according to the interruption boundary to form an independent response segment. Finally, all response segments that meet the interruption conditions are numbered and the interval is summarized to obtain the list of structural response continuity missing sections.

[0026] The specific steps of S2 are: S201: Based on the list of structural response continuity missing sections, call the node sequence at both ends of the missing section, pair the direction vectors, compare the extension directions of adjacent nodes, and mark the direction transmission difference items to obtain the boundary direction offset relationship group; According to each interruption section in the list, extract the node numbers corresponding to the front end and the end of each interruption section, and find the coordinate point distribution between the two end nodes. For the adjacent node pairs in the distribution sequence, draw their path extension trend under the horizontal projection condition. Then, construct the vector direction of each adjacent node pair. The vector line segment from the starting node to the terminal node represents the direction of the vector. Then, according to the continuous distribution sequence of the included angle between the guide vectors, analyze whether the path trend of the adjacent nodes maintains the same direction. For adjacent points with an included angle change amplitude exceeding 15°, mark the direction offset. The included angle data is obtained by sequentially extracting coordinates to construct a triangular relationship. If the included angle of the adjacent three path segments continuously presents a reverse or dramatic fluctuation trend, the section is determined to be a direction mutation zone. In actual implementation, the sequence of the direction vectors between the missing sections A37 and A43 is judged. The included angle between nodes A39 and A40 is 61°, which is in the opposite direction. A39 is marked as a direction break point. All offset items are screened and classified to obtain the boundary direction offset relationship group.

[0027] S202: Based on the boundary direction offset relationship group, extract the angle combination and the path junction position, track the angle change trend, calculate the average angle value of adjacent angle segments, delineate the direction turning position, and obtain the path turning transition interval identifier set; The formula for calculating the average included angle value of adjacent included angle segments is as follows: ; This represents the average included angle value of adjacent included angle segments. Representing the The angle formed between the direction vector of the current path segment and the direction vector of the previous path segment. Representing the The included angle of the path direction of the segment. Represents path segment The Euclidean distance between the start node and the end node. Represents path segment The length of the direction vector formed, This represents the total number of directional segments used in the calculation; Assumption: The total number of path segments is set to The included angle sequence collected from a certain sample is as follows: , , , ; Distance between nodes: , , , ; Vector segment direction magnitude: , , , ; First, calculate the difference in angle for each segment and multiply it by the corresponding weight: Section 1: ; Section 2: ; Section 3: ; Then calculate the sum of the square roots of the vector magnitudes of each segment in the denominator: , , ; Summation of numerators: ; Summation of denominators: ; Substituting into the formula, we get: ; The results show that the average turning angle of the current angle direction section is 11.67 degrees, which can be used for subsequent turning threshold setting and path adjustment reference positioning.

[0028] S203: Call the path turning transition interval identification set row section arrangement trend alternation segment, collect the direction change trend and misalignment junction position of each section, and obtain the list of ornament direction deviation structure path distribution; First, check each marked path section, arrange its direction trajectory node by node in each turning interval, select the polyline path composed of three consecutive nodes in the middle, identify the included angle at the middle node, if the included angle changes more than 40° and the path no longer recovers the forward trend, the section is determined as a trend alternation segment, and the starting and ending node at this place is extracted and marked as the alternation segment boundary position. For each alternation path, record its direction change sequence, use the guide vector composed of the front and rear nodes, identify the direction segment that occurs deflection by the number of direction trend turnbacks, in the actual application scenario, if the nodes in a path section are numbered between B13 and B17, the included angles of 42°, 55° and 47° appear alternately, and the midpoint B15 is located at the corresponding points of the front and rear included angle peaks, then the path section is determined to have a significant direction alternation structure. Process all marked path sections according to the sequence number and node association, and classify each according to the continuous trend of the direction change, mark the misalignment junction point of each class, and mark the alternation number and position section, finally obtain the list of ornament direction deviation structure path distribution.

[0029] The specific steps of S3 are: S301: Based on the list of ornament direction deviation structure path distribution, corresponding to the guide vectors of the starting node and the ending node of the direction migration section, analyze the included angle trend between the node guide vectors, screen the paragraphs that deviate from the coherent trajectory and mark the position, and obtain the guide deviation path point set; First, the start node and end node number of each direction transition segment in the path is extracted, the corresponding three-dimensional space coordinate value is read in order of number, and the two end guide vectors are constructed according to the node position sequence. The cross product and dot product of coordinate vectors are used to judge the included angle relationship between the two vectors, and the change of the included angle range reflects the path extension trend. If the included angle is greater than 60° and the direction does not return to the original direction, it is considered that the path trend jumps. In the actual example, if the guide angles between nodes A22 to A28 are 65°, 68°, 72° in turn, it can be judged that the direction deviates obviously in this section. The guide vectors formed by every two nodes in this section are marked, and the start and end points of the corresponding node pairs are listed as potential offset path positions. Then, the included angle trend of the continuous paragraphs of the whole path is compared horizontally. If the fluctuation range of the included angle value in the offset segment is more than 20°, the segment is listed as a non-continuous segment of the trajectory. The slight deviation segments with an included angle less than 30° are excluded by screening, and only the direction segments with obvious fluctuation and delay are retained. Then, the position number of all offset segments in the whole path is sorted, and the start and end coordinates corresponding to the node number and the offset vector direction are attached. Finally, the guide offset path point set is obtained.

[0030] S302: Based on the guide offset path point set, extract each included angle change trajectory, calculate the included angle trend fluctuation frequency according to the change of the included angle between each guide vector and the adjacent segment, mark the section with continuous change amplitude distribution, and obtain the included angle trend disturbance section set; The calculation formula of the included angle trend fluctuation frequency is as follows: ; represents the included angle trend fluctuation frequency of the first segment, represents the included angle difference value between the first segment and the second segment, represents the normalized weight of the first segment angle difference value, represents the included angle difference value of the first segment guide vector, represents the arithmetic mean value of the included angle difference value of segments, represents the number of segments participating in the included angle trend analysis, represents the original value of the included angle formed by the first segment guide vector, represents the original value of the included angle formed by the guide vector of the next segment of the first segment, is the segment number index participating in the calculation of the standard deviation sum; Assume: The sampling period is 0.2 seconds, and the angle measurement error is ±0.3°. The numerical range is (0, 1); : Take the angle difference value of the continuous 5 paragraphs for fluctuation frequency analysis; The sampling segment angle data is as follows: , , , , , ; Calculate the angle difference value: ; ; ; ; ; Calculate the average difference value: ; Calculate the weight coefficient (the maximum difference is 1.6): ; ; ; ; ; Bring in the weighted deviation term: ; ; ; ; Calculate the angle difference value: ; Calculate the first part average term: ; Calculate the mean square error term: ; ; ; ; Finally, calculate the frequency value: ; The results show that the angle trend fluctuation frequency of the current segment is 0.2097 times / segment, which is used to judge whether the structural disturbance segment is continuous, high frequency and has fault signs in combination with other paragraphs. The frequency value will be used as a quantitative index to identify the instability behavior in the hanger connection path, which is called by the subsequent direction failure trend analysis module.

[0031] S303: Call the angle trend disturbance segment set and the guide offset path point set, mark the continuous trajectory segment in the migration segment, and classify the continuous segment into the same direction channel to obtain the direction stable stress response main segment calibration set. Firstly, based on the number information of each segment in the angle trend disturbance segment set, the node index range covered by it is read, and the guide angle change trend record between the start and end points of each segment is called from the guide offset path point set. The continuity consistency of the angle sequence of adjacent points in each guide path is judged. If the fluctuation of the guide angle of any three continuous segments does not exceed 5°, and the direction change is consistent, the path segment is marked as continuous, and the marked number is established in the position mapping. Then all the segments that meet the continuous trend condition are found in the path segment, the adjacent segments are spliced in the order of node number, and the continuous trend sequence is formed. In the actual example, when the angle values in the interval P105 to P114 are 8°, 7°, 6°, 9°, 8°, 10°, 9°, 7°, 6°, it is determined that the segment meets the continuous trend consistency condition, and all the nodes of the segment are listed under the unified channel label. Then the continuous segments under all labels are grouped and classified, the direction trend and spatial displacement vector direction are extracted, and the correspondence table of channel number and path segment index is established. Finally, the path segment number and node set constituting the continuous trend stable channel are output, and the direction stable stress response main segment calibration set is obtained.

[0032] The specific steps of S4 are: S401: Based on the direction stable stress response main segment calibration set, linearly splice the path at both ends of the missing segment, extend the direction trajectory of the vector segment on both sides, arrange the continuous amplitude sequence and the distribution trend of the angle change along the extended path, and obtain the direction extension path information set. First, the path index of the starting point and the ending point of the missing section is selected, the coordinate vector and the extension direction of the terminal nodes of the two main sections are called, and the equally spaced extension nodes are established on each missing path through the linear extension operation of the start and end section coordinates. The distance between them is set as the basic step length based on the average distance of the first 5 sections in the main section. In the example, if the average distance of the main section extension section is 3.8 units, then the inserted section is extended by this distance as a unit, and the number is added according to the extension direction. Then, on each path after the insertion, the amplitude sequence and the angle change sequence at the corresponding position in the response record are called, the continuous amplitude sections of these extended paths at different positions are sorted and their start and end indexes are identified, the angle fluctuation change sequence in each extended section is extracted, and the directional trend between adjacent nodes is compared. When the angle fluctuation of the adjacent three sections is within 15° and maintains the same increasing or decreasing trend, it is marked as a continuous angle section. In practice, if the angles of P201 to P205 are 20°, 22°, 25°, 27° and 29° respectively, then this section is marked as a continuous fluctuation section. Further, all the sections that meet the continuous amplitude and angle change are combined into the direction trajectory corresponding to the section, and the identification number is assigned. Finally, all the effective response intervals and angle trend paragraphs on the extended paths are sorted according to the number to obtain the direction extension path information set.

[0033] S402: Call the direction extension path information set, combine the direction trend of the adjacent main section path, calculate the trend fitting difference of the angle fluctuation section, analyze the directional deviation distribution relationship between the continuous section and the main path, and obtain the trend comparison difference distribution structure; First, all calibrated direction trend sequences and adjacent main path direction vector sets in the path information set are extracted. Based on the node sequence of each direction extension segment, the corresponding direction vector is extracted and matched with the direction vector of the main path one by one. For the matched direction vector sequence, the angle change in space is detected one by one. The angle change is extracted by the cosine value of the vector between nodes. Then, in all angle change sequences, the angle fluctuation section whose fluctuation amplitude exceeds the set fluctuation judgment value is screened out. The fluctuation judgment value is set according to the stability of the path direction change. When the angle fluctuation between adjacent nodes is greater than 10 degrees, it is marked as a fluctuation section. In specific implementation, if the main path direction is 30 degrees east of north, and a certain extension path changes to 45 degrees east of north at adjacent nodes, the angle change here is 15 degrees, which is marked as a fluctuation section. Next, for each fluctuation section, the direction vector sequence of the continuous nodes contained therein is extracted, and the trend fitting is performed with the direction vector of the main path. The trend fitting difference degree is described by the average value of the angle residual sequence between the trend change of the adjacent nodes and the fitting trend of the main path. For example, if the trend change of the main path direction is gradually decreasing, and the direction change of a certain fluctuation section is increasing, the fitting difference degree will be higher. Then, after the trend fitting difference degree is extracted, the direction offset distribution of each fluctuation section relative to the main path is analyzed to determine whether the offset is continuously expanding, periodically fluctuating or tending to return to the main path direction. For the judgment, the change trend of the direction vector of the start and end points of the fluctuation section is compared with the change trajectory of the intermediate nodes. For example, if the start point of a certain fluctuation section is 30 degrees east of north, and the end point is 60 degrees east of north, and the intermediate nodes show a linear increasing trend, it is classified as a continuously expanding offset. If the intermediate nodes fluctuate around 45 degrees, it is classified as a periodic fluctuation. If the start point is 60 degrees and the end point returns to 35 degrees, it is classified as a regression offset. Finally, the trend comparison difference distribution structure is obtained.

[0034] S403: Based on the trend comparison difference distribution structure and the direction extension path information set, the blank segment range covered by the main segment trend extension is matched, the nodes of the trend extension trajectory and the vacancy structure region are located, and the main path connection state update information set is obtained. The corresponding relationship of the difference section on the direction path is checked section by section, the direction trajectory line segment sequence covered by each difference trend is screened, and whether the node numbers crossed by these line segments are continuous is compared. If there are 3 or more sequential missing node numbers in the continuous broken section, it is determined as a direction extension coverage area. Then the extended direction of the stable direction trend in the marked segment in the main section is viewed side by side with the path segment direction, and if the angle change range between the directions is less than 20°, it is determined that the direction trend continues effectively. The starting and ending nodes of this interval are recorded as the landing point interval of the main path trend extension trajectory. Then the landing point interval and the node number in the blank structure section are matched to find the node number cross-matching section. According to the number sequence, each trend trajectory point is mapped to the corresponding node in the blank structure, and the segment number to which the original trajectory point belongs in the trend path is recorded. For example, the nodes P110, P111 and P112 all fall into the blank structure numbers N43 to N45. Then the path segment number to which P110 to P112 belong in the main section is bound and matched with N43 to N45. Finally, by traversing all the extended trend paths and covering the blank structure segments, the pairing results of each group of trend trajectories and blank nodes are obtained, and they are classified into a unified data list according to the path segment number to obtain the main path connection state update information set.

[0035] The specific steps of S5 are: S501: Based on the main path connection state update information set, the direction change interval of the main path continuation section, the interpolation section and the broken section is divided, the trend of the interval propagation direction change is identified, the number of repeated oscillations in the interval and the distribution position of the continuous direction section are counted, and the path direction oscillation distribution data is obtained. First, each path segment is classified into main path continuation segment, interpolation segment and broken segment according to the connection state type, and the starting and ending node index number list is generated for each segment. The angle between the adjacent nodes in the path segment is calculated by the number index, and the direction change interval of each segment is marked according to the angle. If the angle between two adjacent nodes is greater than 30°, it is considered that the direction change is significant, and the boundary position is formed in the path segment. All the positions forming the boundary are recorded in sequence as a direction change sequence. Each direction change sequence of the segment is further divided into continuous direction conduction sections. The arrangement order of the direction vector of each section is compared and judged. If the direction vector presents an alternating trend, that is, the front and rear directions appear alternately, it is recorded as an oscillation segment. The number of times of direction reversal in such a segment is counted. If the angle of a direction segment changes to 30°, -35°, 28°, -32°, it is considered as a continuous oscillation sequence, and the number of repeated oscillations is 3 times. Then, the position of the above oscillation behavior is looked up combined with the original node number range of each segment, and is uniformly recorded as the path direction oscillation node distribution set. If there are 4 times of direction reversal in the node number continuous such as N201 to N208, the segment number of the corresponding oscillation segment is recorded as the interpolation segment No. 3, and the corresponding oscillation segment numbers are D3-1, D3-2, D3-3, D3-4. Continue to traverse all segments and perform the same operation. The direction change position, oscillation number and corresponding node position in the path of each segment are filled into the structured record table, and finally the path direction oscillation distribution data is obtained. S502: Based on the path direction oscillation distribution data, the change order of the propagation direction between the corresponding segments is identified, the positions in the direction mutation point set are recognized, the number of concentrated point sections and broken sections is matched, and the mutation point and broken section association map is obtained; First, all the direction reversal points recorded in each path segment are read in sequence and arranged in ascending order of node number, the segment number, node number, angle change and the direction number of the two direction segments before and after each direction reversal point are extracted to form a reversal event sequence, then the interval number between each reversal event is traversed in paragraph order, if the interval node number between the three consecutive reversal points is less than 5, the three reversal points are included in a mutation point set, the set number is established and the node numbers contained are recorded in the data table, the other reversal events are continuously traversed, if the interval condition is met, other mutation point sets are repeatedly established, then the fracture segment list in the main path connection state update information set is called, the start and end node number interval of the fracture segment is extracted, whether each node number in the mutation point set group falls into a certain fracture segment number interval is judged in sequence, if at least two nodes in a set group are located in the same fracture segment, the mutation point set group is bound with the fracture segment, and the corresponding relationship is recorded in the graph structure, if nodes N220, N223 and N226 in set G4 fall into the interval between N218 and N230 covered by fracture segment D7, it is registered as "G4→D7" in the associated graph, all set groups are traversed in sequence to complete the pairing operation, the complete mutation point and fracture segment mapping content is formed, and finally the mutation point and fracture segment association graph is obtained.

[0036] S503: Based on the mutation point and fracture segment association graph, the interval structure and interval sequence of the direction change in the disturbance segment are tracked, the disturbance trend of each segment is extended according to the sequence structure change, and the fitting failure trend feature set is obtained; First, the fracture segment number corresponding to each group of mutation points and the disturbance path segment number where it is located are extracted, the node sequence in each disturbance segment is collected in order of path number, the node spacing between each two adjacent direction changing points is recorded, the spacing is calculated by the number difference, such as node number N135 and N139, the corresponding spacing is 4, after arranging the direction changing points in the whole disturbance segment in ascending order of node number, the adjacent intervals are calculated in turn to form a spacing sequence, and then the stability of the interval structure is judged according to the distribution frequency of repeated values in the spacing sequence, if the repeated interval value in the spacing sequence appears more than 3 times and the repeated times are more than 5, it is marked as "equal interval oscillation structure", otherwise it is marked as "non-equal interval variation structure", then the interval sequence in each disturbance segment and its structural stability are marked and added to the paragraph number table, and the direction change mode of each disturbance trend is also extended, which is specifically comparing the vector direction numbers of the front and rear two direction segments based on the recorded direction nodes, if the "positive rotation→reverse rotation→positive rotation" mode appears continuously more than twice, it is defined as "direction alternating disturbance", if it maintains the same direction offset all the time, it is classified as "direction cumulative disturbance", the above classification is added to the paragraph description, for example, if it is found that the direction change of nodes N202, N205 and N208 in disturbance segment D11 corresponds to the direction vector "clockwise→counterclockwise→clockwise" conversion, this segment is identified as alternating type, and the disturbance trend description is formed in combination with the interval sequence information, finally, the fracture segments associated with all the mutation points are traversed in turn, the direction change interval structure, interval sequence and disturbance trend characteristics in the disturbance segment are sorted and classified, and the hanger failure trend feature set is obtained.

[0037] A power transmission line hardware multi-element perception failure evaluation system, comprising: The structural response loss identification module obtains the state response collection paragraph of the spacer and the strain clamp part of the power transmission line hardware under the micro wind working condition, extracts the start and end points of each response curve, retrieves the continuous change and interruption paragraph in the amplitude trend, monitors the arrangement order change of the peak and valley points in the corresponding section, divides the response paragraph according to the trend mutation position and the transition characteristics of the structure connection, and obtains the list of structural response continuity loss sections; The direction offset path recognition module recognizes the position of the direction offset mutation based on the list of structural response continuity loss sections, calls the direction conduction state of the nodes before and after the loss section, tracks the direction change according to the joint angle of the offset point and the conduction path, identifies the structural turning connection relationship existing along the way, divides the distribution boundary of each direction trend and offset dislocation, and obtains the list of hardware direction offset structure path distribution. The direction main sequence extraction module analyzes the flow direction relationship at both ends of the direction transition section based on the accessory direction offset structure path distribution list, judges whether there is a section with inconsistent direction trend, identifies the main sequence of the direction conduction according to the continuity of the direction trend in the main path section and the stable trend of the peak and valley arrangement, eliminates the non-continuous section with direction mutation, and obtains the direction stable stress response main section calibration set; The trend extension calibration module extracts the direction trend at both ends of the missing section and the amplitude change trend of the adjacent nodes based on the direction stable stress response main section calibration set, extends the direction structure of the missing section, matches the trend consistency of the extended section and the main path section, identifies the section with continuous trend, completes the trend at the broken position, and obtains the main path connection state update information set. The failure trend feature extraction module extracts the propagation trend and vibration change of the main path continuation section, the trend interpolation section and the structure broken section based on the main path connection state update information set, sorts out the direction conversion relationship between each section, analyzes the distribution characteristics of the direction offset points, extracts the feature elements reflecting the structural continuity, direction stability and trend disturbance by combining the trend interruption position and the direction change intensive area, and obtains the accessory failure trend feature set.

[0038] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0039] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0040] The present application is described with reference to flowcharts and / or block diagrams according to the method, device (system) and computer program product of the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of the flows and / or blocks in the flowchart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices produce a machine that implements the functions specified in the flowchart and / or block diagram. Figure 1 The function of one flow or multiple flows and / or blocks Figure 1 The function of one block or multiple blocks.

[0041] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0042] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that are executed on the computer or other programmable apparatus provide steps for implementing the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0043] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the embodiments by those skilled in the art once they learn of the basic inventive concepts. Therefore, the appended claims are intended to cover all such additional variations and modifications as fall within the scope of the application.

[0044] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A multi-factor sensing failure assessment method for transmission line fittings, characterized in that, S1: Obtain the response segments of spacers and tension clamps of transmission line fittings under light wind conditions, extract the start and end points of the curves, search for amplitude interruption areas, monitor peak and valley changes, identify structural transition positions, and obtain a list of structural response continuity missing segments. S2: Based on the list of missing structural response continuity segments, call the transmission path of nodes before and after the missing segment, identify the offset abrupt change point, track the directional fluctuation according to the angle change, mark the structural trend boundary, and obtain the distribution list of hardware directional offset structural path. S3: Based on the list of hardware orientation offset structure path distribution, analyze the consistency of flow direction at both ends of the migration segment, extract the main path segment by combining the included angle trend and peak stability, exclude abrupt segments, and obtain the calibration set of the main segment of orientation stability stress response. S4: Based on the calibration set of the main segment of the directional stable stress response, extend the paths at both ends of the missing segment, extract the amplitude and angle changes of the interpolated segment, compare them with the trend of the main path, and connect the directional coherent segment to obtain the main path connection status update information set. S5: Based on the main path connection status update information set, extract the propagation segment direction trend and rhythm, classify the transition sequence, pair the jump frequency band and the repeated response area, and obtain the hardware failure trend feature set.

2. The multi-factor sensing failure assessment method for transmission line fittings according to claim 1, characterized in that, The list of structural response continuity gaps includes start and end point coordinates, amplitude interruption sections, peak and valley point arrangement patterns, and structural transition characteristics. The list of hardware directional offset structural path distributions includes angle offset abrupt change points, conduction path joint angles, stress guiding sections, and directional misalignment boundaries. The directional stability stress response main segment calibration set includes the main path segment angle continuation trend, peak stability segments, and directional abrupt change exclusion sections. The main path connection status update information set includes main path continuation segments, interpolation direction change segments, and trend consistency connection segments. The hardware failure trend feature set includes propagation direction, number of repeated oscillations, dense areas of directional abrupt change points, number of propagation interruption segments, and disturbance propagation rhythm.

3. The multi-factor sensing failure assessment method for transmission line fittings according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: Acquire the response acquisition segments of spacers and tension clamps of transmission line fittings under light wind conditions, divide the start and end ranges of each response curve segment, arrange the amplitude fluctuation process sequence, delineate the boundary of the segment where the interruption location is located, and obtain the amplitude extension interruption segment sequence. S102: Based on the amplitude extension interruption segment sequence, the intervals between peak points and valley points are listed sequentially from the interruption segments, and the continuous wave segments in the wave peak and valley arrangement state that show distribution shift are marked to obtain an abnormal waveform arrangement feature list. S103: Based on the abnormal waveform arrangement feature list, analyze the changes in amplitude trend and deformation extension trend, locate the trend break zone at each connection point, delineate the response segment interval where the continuous trend is interrupted, and obtain a list of structural response continuity missing segments.

4. The multi-factor sensing failure assessment method for transmission line fittings according to claim 1, characterized in that, The specific steps of S2 are as follows: S201: Based on the list of missing segments in the structural response continuity, call the node sequences at both ends of the missing segment, pair the direction vectors, compare the extension directions of adjacent nodes, calibrate the direction transmission difference terms, and obtain the boundary direction offset relationship group; S202: Based on the boundary direction offset relationship group, extract the angle combination and the path junction position, track the angle change trend, calculate the average angle value of adjacent angle segments, delineate the direction turning position, and obtain the path turning transition interval identifier set; S203: Call the path turning transition interval identifier group to sort out the alternating segments of the trend, collect the trend of each segment of directional change and the misalignment boundary position, and obtain the hardware directional offset structure path distribution list.

5. The multi-factor sensing failure assessment method for transmission line fittings according to claim 4, characterized in that, The formula for calculating the average included angle value of adjacent included angle segments is as follows: ； This represents the average included angle value of adjacent included angle segments. Representing the The angle formed between the direction vector of the current path segment and the direction vector of the previous path segment. Representing the The included angle of the path direction of the segment. Represents path segment The Euclidean distance between the start node and the end node. Represents path segment The length of the direction vector formed, This represents the total number of direction segments used in the calculation.

6. The multi-factor sensing failure assessment method for transmission line fittings according to claim 1, characterized in that, The specific steps for S3 are as follows: S301: Based on the distribution list of the hardware direction offset structure path, the guide vectors of the starting and ending nodes of the corresponding positioning direction migration segment are analyzed. The angle trend between the node guide vectors is analyzed, the segments that deviate from the continuous trajectory are screened and their positions are marked to obtain the guide offset path point set. S302: Based on the set of guide offset path points, extract the trajectory of angle change for each segment, calculate the frequency of angle trend fluctuation based on the change in the angle formed by each guide vector and adjacent segments, mark the segments with continuous distribution of change amplitude, and obtain the set of angle trend disturbance segments. S303: Call the set of angle trend disturbance sections and the set of guide offset path points, mark the trajectory segments with consistent direction in the migration segment, and classify the continuous segments into the same direction channel to obtain the calibration set of the main segment of directional stability stress response.

7. The multi-factor sensing failure assessment method for transmission line fittings according to claim 6, characterized in that, The formula for calculating the frequency of the included angle trend fluctuation is as follows: ； Representing the Frequency of trend fluctuations in the angle between segments Representing the Section and the The difference in the angle between the guide vectors of the segments, Representing the Normalized weights of the angle difference between segments Representing the The difference in the angle between the segment guide vectors, represent The arithmetic mean of the differences in the included angles of each segment This represents the number of segments that continuously participate in the angle trend analysis. Representing the The original value of the included angle formed by the segment guide vector. Representing the The original value of the included angle formed by the guide vector of the next segment. This is the index of the segment number involved in the standard deviation summation calculation.

8. The multi-factor sensing failure assessment method for transmission line fittings according to claim 1, characterized in that, The specific steps of S4 are as follows: S401: Based on the calibration set of the main segment of the directional stable stress response, linearly interpolate the paths at both ends of the missing segment, extend the directional trajectories of the vector segments on both sides, and follow the distribution trend of the continuous amplitude sequence and the angle change of the extended path to obtain the directional extended path information set. S402: Call the directional extension path information set, combine it with the directional trend of adjacent main segment paths, calculate the trend fitting difference in the angle fluctuation section, analyze the directional offset distribution relationship between continuous segments and main paths, and obtain the trend comparison difference distribution structure. S403: Based on the trend comparison difference distribution structure and direction extension path information set, match the blank segment range covered by the main segment trend extension, locate the nodes of the trend extension trajectory and the empty structure area, and obtain the main path connection status update information set.

9. The multi-factor sensing failure assessment method for transmission line fittings according to claim 1, characterized in that, The specific steps of S5 are as follows: S501: Based on the main path connection status update information set, divide the direction change intervals of the main path continuation segment, interpolation segment and break segment, identify the change trend of the propagation direction of the interval, and count the number of repeated oscillations and the distribution position of the continuous direction segment within the interval to obtain the path direction oscillation distribution data. S502: Based on the path direction oscillation distribution data, the change order of the propagation direction between corresponding segments is used to identify the concentrated location of the direction change points, match the number of concentrated point segments with the number of broken segments, and obtain the correlation map between change points and broken segments. S503: Based on the correlation map between the mutation point and the fracture segment, track the interval structure and spacing sequence of directional changes within the disturbance segment, extend the disturbance trend of each segment according to the sequence structure change, and obtain the hardware failure trend feature set.

10. A multi-dimensional sensing failure assessment system for transmission line fittings, characterized in that, The system is used to implement the multi-factor sensing failure assessment method for transmission line fittings according to any one of claims 1-9, the system comprising: The structural response missing identification module acquires the state response collection segments of spacer bars and tension clamps of transmission line fittings under light wind conditions, extracts the start and end points of each response curve, retrieves continuous changes and interruptions in the amplitude trend, monitors the change in the arrangement order of peak and valley points in the corresponding segment, and divides the response segments according to the location of trend change and the transition characteristics of the structural connection to obtain a list of structural response continuity missing segments. The direction offset path identification module, based on the list of missing structural response continuity segments, calls the direction transmission status of the nodes before and after the missing segment, identifies the location of the sudden change in direction offset, continuously tracks the direction change according to the junction angle between the offset point and the transmission path, identifies the structural turning connection relationship along the way, delineates the distribution boundary of the direction trend and offset misalignment of each segment, and obtains the hardware direction offset structural path distribution list. The main direction sequence extraction module analyzes the flow relationship between the two ends of the direction migration segment based on the hardware direction offset structure path distribution list, determines whether there are segments with inconsistent direction trends, identifies the main sequence of direction transmission based on the continuity of the direction trend and the stable trend of peak and valley arrangement within the main path segment, removes discontinuous segments with abrupt changes in direction, and obtains the calibration set of the main segment of the direction stable stress response. The trend extension calibration module, based on the main segment calibration set of the directional stable stress response, extracts the directional trend at both ends of the missing segment and the amplitude change trend of adjacent nodes, extends the directional structure of the missing segment, matches the trend consistency between the extended segment and the main path segment, identifies segments whose trend trends can be continuously connected, performs trend completion at the break position, and obtains the main path connection status update information set. The failure trend feature extraction module extracts the propagation trend and vibration changes of the main path continuation segment, trend interpolation segment, and structural fracture segment based on the main path connection status update information set. It sorts out the direction conversion relationship between each segment, analyzes the distribution characteristics of the direction offset points, and extracts the feature elements reflecting the structural continuity, directional stability, and trend disturbance by combining the trend interruption position and the dense area of ​​direction change, thus obtaining the hardware failure trend feature set.

Images