A method of monitoring a cable

Abstract

The application discloses a cable monitoring method and relates to the field of bridge engineering, which comprises the following steps: acquiring the frequency, peak position offset and radar echo energy of any cable; calculating a first score value and a second score value according to the frequency, peak position offset and radar echo energy of the cable; judging whether the first score value is greater than a preset first threshold value and whether the second score value is greater than a preset second threshold value; if not, continuing to monitor the cable by using the radar; if yes, judging whether the radar cable distance meets a preset condition; if yes, making the radar actively re-identify and position the spatial position of the cable and then continuing to monitor the cable; if not, manually making the radar re-identify and position the spatial position of the cable and then continuing to monitor the cable. The application adopts a cable multi-index fusion drift identification and repositioning mechanism, and realizes accurate and efficient state monitoring of the cable-stayed cable.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of bridge engineering, in particular to a cable monitoring method. BACKGROUND

[0002] At present, with the rapid development of long-span cable-stayed bridges, as a key load-bearing component, the cable force state and vibration characteristics of the cable-stayed cable become the core indicators of structural health monitoring. Radar monitoring technology, as a non-contact long-distance measurement method, has gradually been applied in the monitoring of bridge cable-stayed cables due to its high resolution, multi-target identification and all-weather working ability. Such a radar system can generate a pulse-echo diagram, and by extracting the peak position and micro-vibration frequency of the cable reflection echo, the cable displacement change, cable force level and health status can be indirectly determined, thereby laying a technical foundation for establishing a new generation of intelligent monitoring system.

[0003] Patent document CN116879884A discloses a method for covering the entire cable surface by controlling the transmission of millimeter wave signals by a phased array antenna subarray, extracting the Doppler frequency of each cable using multiple signal separation, constructing the complete vibration signal of each cable, and combining the structural motion balance equation to obtain the time-varying cable force. This method can improve the spatial resolution and vibration accuracy, and is particularly suitable for long-term monitoring of cable group structures under multi-point modal vibration mode analysis.

[0004] However, in the actual operation process of long-span bridges, the main beam structure is often affected by long-term temperature changes, traffic loads, strong wind weather and other factors, and the deflection may change, so the reflection position of the cable will also change, resulting in a change in the echo distance received by the radar, thereby causing a significant shift in the reflection peak position corresponding to the cable in the radar distance spectrum diagram. After the target peak of the cable shifts, if the system still extracts the frequency in the original set position area, there will be errors in the frequency extraction object, the frequency calculation will be distorted, and the problem of increased abnormal misjudgment will occur. SUMMARY

[0005] The present application provides a cable monitoring method, which can solve the problem that after the target peak of the cable shifts, if the system still extracts the frequency in the original set position area, there will be errors in the frequency extraction object, the frequency calculation will be distorted, and the problem of increased abnormal misjudgment will occur.

[0006] In a first aspect, the present application provides a cable monitoring method, which comprises the following steps:

[0007] Obtaining the frequency, peak position offset, and radar echo energy of any cable, and calculating a first score value and a second score value based on the frequency, peak position offset, and radar echo energy of the cable;

[0008] Judging whether the first score value is greater than a preset first threshold value and whether the second score value is greater than a preset second threshold value.

[0009] If no, continue to monitor the cable with radar; if yes, further determine whether the radar cable distance meets the preset condition;

[0010] If yes, make the radar actively re-identify and position the spatial position of the cable and continue to monitor the cable; if no, manually make the radar re-identify and position the spatial position of the cable and continue to monitor the cable.

[0011] In combination with the first aspect, in an implementation manner, the frequency, the peak position offset, and the radar echo energy of any cable are acquired, the first score value and the second score value are calculated according to the frequency, the peak position offset, and the radar echo energy of the cable, and the method further includes the following steps:

[0012] The first score value is calculated according to the following formula:

[0013] ;

[0014] The second score value is calculated according to the following formula:

[0015] ;

[0016] Wherein, represents the first score value of the i th cable at time t, the cables are numbered in order from near to far from the radar as 1, 2, 3, …, N, and the i th cable in the numbering is represented by ; ;

[0017] represents the second score value of the i th cable at time t;

[0018] , , are the frequency relative fluctuation rate, the peak position relative offset, and the radar echo energy change ratio of the i th cable at time t and time t-1 respectively, is the weighting coefficient of the three indexes corresponding to the i th cable, , , is the stable score benchmark mean value constructed by the k short cables close to the tower end.

[0019] In combination with the first aspect, in an implementation manner, the method includes:

[0020] The i th score value is calculated according to the following formula: ​​​​​The ratio of the relative frequency fluctuation, relative shift of peak position, and radar echo energy change of the root cable at time t to time t-1:

[0021] ;

[0022] ;

[0023] ;

[0024] in, , , They represent the first The frequency, peak position offset, and radar echo energy at time t of the root cable. , , They represent the first The frequency, peak position offset, and radar echo energy at time t-1 of the root cable.

[0025] In conjunction with the first aspect, in one implementation, it includes:

[0026] Calculate the weighting coefficients using the following formula. :

[0027] ;

[0028] ;

[0029] ;

[0030] ;

[0031] in, This is the index normalization position factor.

[0032] In conjunction with the first aspect, in one implementation, determining whether the first score value is greater than a preset first threshold and whether the second score value is greater than a preset second threshold further includes the following steps:

[0033] The first preset threshold is calculated using the following formula:

[0034] ;

[0035] ;

[0036] ;

[0037] The preset second threshold is calculated using the following formula:

[0038] ;

[0039] in, This represents the first preset threshold. This indicates a preset second threshold. For the continuous measurement duration L frames before time t, the system evaluates the current global cable's first value. The mean value represents the normal rating level for the current cable condition. For the Lth time period First evaluation value of Lasso The standard deviation of the fluctuation is used to reflect the uncertainty or score fluctuation range of the overall cable target state. m is the sensitivity coefficient for judging cable offset, which is configured after measurement and calibration during field deployment. For sensing drift coefficient.

[0040] In conjunction with the first aspect, in one implementation, if the condition is met, then determining whether the radar cable distance satisfies a preset condition includes the following steps:

[0041] Obtain the radar peak distance-radar echo energy intensity map;

[0042] Extract the radar peak distances corresponding to all energy intensity peaks in the radar peak distance-radar echo energy intensity map;

[0043] The extracted radar peak distance is processed to remove noise, thus obtaining the radar cable distance;

[0044] Determine whether the radar cable distance meets the preset conditions.

[0045] In conjunction with the first aspect, in one embodiment, the step of removing noise from the extracted radar peak distance to obtain the radar cable distance includes the following steps:

[0046] The consistency error of each extracted radar peak distance is calculated, and the radar peak distances with consistency errors less than a preset error threshold are retained as radar cable distances.

[0047] In conjunction with the first aspect, in one implementation, the calculation of the consistency error of the extracted radar peak distance includes the following steps:

[0048] The consistency error of each extracted radar peak distance is calculated using the following formula:

[0049] ;

[0050] in, Indicates consistency error. , Indicates the currently identified number The actual radar distance and frequency of the cable-stayed bridge. is determined by the cable distance-frequency error relationship, and , represents the first k cables are updated based on the identified steady-state historical radar cable distance data, and the kth cable is predicted target by target, the predicted distance of the kth cable, represents the radar peak distance corresponding to the cable radar peak, represents the actual frequency corresponding to the cable radar peak distance.

[0051] In combination with the first aspect, in an embodiment, the method further comprises the following steps:

[0052] The average distance interval between the kth cable and the kth cable and the average frequency difference between the kth cable and the kth cable are calculated according to the following formula:

[0053] ;

[0054] ;

[0055] The adjacent cable distance difference and the adjacent cable frequency difference are calculated according to the following formula:

[0056] ;

[0057] ;

[0058] wherein, , represents the predicted radar cable distance and the predicted frequency of the kth cable, represents the average distance interval between the kth cable and the kth cable in the steady state, represents the average frequency difference between the kth cable and the kth cable in the steady state, , the radar cable reference distance of the kth cable in the steady state and the cable reference frequency in the steady state, , the radar cable reference distance of the kth cable in the steady state and the cable reference frequency in the steady state. ,

[0059] In combination with the first aspect, in an embodiment, the method further comprises the following steps:​​​​​​​​​​

[0060] carrying out data cycle verification on the radar cable distance, verifying whether the radar cable distance meets ;

[0061] If yes, it is determined that the radar cable distance meets the preset condition; if no, it is determined that the radar cable distance does not meet the preset condition.

[0062] The beneficial effects brought by the technical scheme provided by the cable monitoring method of the embodiment of the present application include: acquiring the frequency, peak value position offset amount and radar echo energy of any cable, calculating the first score value and the second score value according to the frequency, peak value position offset amount and radar echo energy of the cable; judging whether the first score value is greater than a preset first threshold value and whether the second score value is greater than a preset second threshold value; if no, continuing to monitor the cable using the radar; if yes, judging whether the radar cable distance meets the preset condition; if yes, causing the radar to actively re-identify and position the spatial position of the cable and then continue to monitor the cable; if no, manually causing the radar to re-identify and position the spatial position of the cable and then continue to monitor the cable. The cable multi-index fusion drift identification and repositioning mechanism is adopted in the present application, and precise and efficient state monitoring of the cable-stayed cable is realized. BRIEF DESCRIPTION OF DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0064] Figure 1 The flowchart of the cable monitoring method of the embodiment of the present application;

[0065] Figure 2 The radar cable distance judgment flowchart of the cable monitoring method of the embodiment of the present application;

[0066] Figure 3 The cable offset schematic diagram of the cable monitoring method of the embodiment of the present application;

[0067] Figure 4 The radar peak distance-radar echo energy intensity diagram of the cable monitoring method of the embodiment of the present application. DETAILED DESCRIPTION

[0068] In order for those skilled in the art to better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0069] Embodiment 1

[0070] In the actual operation process of a long-span bridge, the main girder structure is often affected by long-term temperature changes, traffic loads, strong wind weather and other factors, and the deflection may change, so the reflection position of the cable will also change, resulting in a change in the radar cable distance received by the radar, thereby causing a significant drift of the cable corresponding reflection peak position in the radar peak distance spectrum. After the cable target peak drifts, if the system still extracts the cable frequency in the original set position area, the following problems exist: 1. Frequency measurement object error: the original peak position no longer corresponds to the target cable, and the signal or background noise of the adjacent cable may be collected; 2. Frequency calculation distortion: the drift causes the target point reflection signal energy to be reduced or aliasing, resulting in FFT spectrum distortion and reducing the cable force calculation accuracy; 3. Abnormal misjudgment increases: the system may misjudge the frequency change caused by the peak shift as a structural abnormality, interfering with the health state assessment; 4. Long cable is more susceptible to influence: in the same cable plane, the echo drift of the long cable near the end is more significant, making it more difficult to identify and continuously track multiple targets.

[0071] Referring to Figure 1 The cable monitoring method includes the following steps: acquiring the frequency, peak position offset, and radar echo energy of any cable; calculating a first score value and a second score value based on the frequency, peak position offset, and radar echo energy of the cable; determining whether the first score value is greater than a preset first threshold value and the second score value is greater than a preset second threshold value; if not, continuing to monitor the cable using the radar; if yes, determining whether the radar cable distance meets a preset condition; if yes, causing the radar to actively re-identify and locate the spatial position of the cable and then continue to monitor the cable; if not, manually causing the radar to re-identify and locate the spatial position of the cable and then continue to monitor the cable.

[0072] In the monitoring process of a long-span bridge, the cables are numbered as 1, 2, 3, …, N in order from near to far from the radar, and the th cable in the numbering is represented as . The system acquires the frequency, peak position offset, and radar echo energy of the th cable from the data continuously collected by the millimeter wave radar, calculates a first score value and a second score value based on the acquired frequency, peak position offset, and radar echo energy, and determines whether the first score value is greater than a preset first threshold value and the second score value is greater than a preset second threshold value. If not, the system continues to monitor the cable using the radar; if yes, the system determines whether the radar cable distance meets a preset condition; if yes, the system causes the radar to actively re-identify and locate the spatial position of the cable and then continues to monitor the cable; if not, the system manually causes the radar to re-identify and locate the spatial position of the cable and then continues to monitor the cable. The frequency relative fluctuation rate, peak position relative offset amount, and radar echo energy change ratio are key physical characteristic parameters of the root cable. The frequency relative fluctuation rate, peak position relative offset amount, and radar echo energy change ratio effectively reflect the cable displacement change, cable force level, and health status, respectively.

[0073] After the frequency, peak position offset amount, and radar echo energy data of the cable are acquired, the system calculates the first score value and the second score value of the cable according to the data. The first score value and the second score value of the root cable are obtained, and then the first score value is compared with a preset first threshold value. If the first score value is greater than the preset first threshold value, it is determined that the cable drifts, and the cable that drifts is included in an abnormal candidate set. If the first score value is not greater than the preset first threshold value, it is determined that the cable does not drift, and then the system can continue to monitor the cable. The second score value of the cable included in the abnormal candidate set that drifts is compared with a preset second threshold value. If the second score value is greater than the preset second threshold value, it is determined that the cable continuously drifts. If the second score value is not greater than the preset second threshold value, it is determined that the cable does not continuously drift, and then the system can continue to monitor the cable.

[0074] When the cable continuously drifts, the cable echo position also drifts in the radar device. At this time, the system needs to re-identify the new spatial position of the cable and then restore monitoring of the cable.

[0075] When the system identifies that the cable continuously drifts, the system immediately calls the radar peak distance-radar echo energy intensity map at the current time, extracts the radar peak distance in the map in order, performs fast Fourier transform (FFT) on each extracted radar peak distance, thereby extracting the actual frequency corresponding to the cable radar peak distance, forming a candidate target pair, and constructing a candidate target set

[0076]

[0077] The candidate target set is used as the basis for cable position relocation.

[0078] wherein, The candidate target set is used as the basis for cable position relocation. is the radar peak distance extracted from the radar peak distance-radar echo energy intensity map, is the actual frequency corresponding to the radar peak distance.

[0079] In the monitoring process, the electric wires, electric poles, trees, flying objects and the like near the bridge will generate echo energy, and the constructed candidate target set contains noise, so it is necessary to carry out noise removal processing on the constructed candidate target set.

[0080] Firstly, the monitoring system constructs a structural difference template between the cables according to the historical data of the average distance difference and the frequency difference of the adjacent cables at the initial steady state recorded by the system at the steady state, so as to provide data reference for subsequent drift peak adaptive identification.

[0081] Secondly, the frequency data of the first k cables are updated based on the historical distance data at the steady state, and the possible positions of the first k+1 cables are predicted target by target. Figure 3 As shown in FIG. 1, when the deflection of the bridge changes, the position of the bridge deck moves, and the size of the movement is proportional to the horizontal distance from the cable tower, that is, the farther away from the cable tower, the greater the change of the bridge deck position, and the position of the first k cables near the cable tower basically does not change, and the first k cables tend to be stable in the monitoring process, which can be used to predict the possible positions of the first k+1 cables target by target.

[0082] Then, the structural consistency error of each group of data in the constructed candidate target set is calculated, and the size of the consistency error and the preset error threshold is compared, and the radar wave peak distance whose consistency error is less than the preset error threshold is the radar cable distance. The preset error threshold is a drift error threshold set by the system, which is used to constrain the adaptive matching of the cable.

[0083] The identified radar cable distance is subjected to data cycle verification to ensure whether the actual physical relationship between the cables meets the corresponding logic, that is, the radar cable distance with a smaller number is less than the radar cable distance with a larger number. If yes, the radar actively re-identifies and positions the cable space and continues to monitor the cable; if no, the system prompts and alarms for the abnormal target, and retains the historical structural template of the target cable, and in the subsequent monitoring process, the system is allowed to re-identify the number of the cable based on the time series trend, and the number binding correction is carried out through manual assistance.

[0084] The present application provides a cable monitoring method, which judges whether the cable has continuous drift in actual monitoring through a set of continuous drift judgment mechanism, and repositions and identifies the cable which has continuous drift, so as to realize accurate and efficient state monitoring of the cable-stayed cable.

[0085] Example 2:

[0086] ​The cable monitoring method, which involves acquiring the frequency, peak position offset, and radar echo energy of any cable, and calculating a first score and a second score based on the cable's frequency, peak position offset, and radar echo energy, further includes the following step: calculating the first score according to the following formula:

[0087] The first score is calculated using the following formula:

[0088] ;

[0089] The second score is calculated using the following formula:

[0090] ;

[0091] in, Indicates the first Genlaso at the moment The first score value is used to number the cables sequentially from closest to furthest from the radar as 1, 2, 3...N. Indicates the number in the sequence. Genlaso, ;

[0092] Indicates the first Genlaso at the moment The second rating value;

[0093] , , They are the first The ratio of the relative frequency fluctuation, relative shift of peak position, and change in radar echo energy of the genlach at time t to time t-1. Let be the weighting coefficient of the three indicators corresponding to the i-th cable. , It is the average of the stability score benchmark constructed by k short cables near the tower end.

[0094] The mean of the stability score benchmark constructed by k short cables near the tower end The specific calculation formula is as follows:

[0095] ;

[0096] In cable-stayed bridge structures, cable numbers increase from the tower towards the mid-span on both sides. Shorter cables closer to the tower are less affected by the main girder deflection, and their echo peak positions are generally more stable. Therefore, in drift assessment, shorter cables with smaller numbers closer to the tower can be used as "structural stability anchor points" to help determine whether scoring anomalies in the longer cables at the far end are genuine and valid. Specifically, the average of the first 2-3 cables in a span is typically selected to construct the stability scoring benchmark. .

[0097] Embodiment 3

[0098] The cable monitoring method comprises: calculating the first The root cable at time t and the frequency relative fluctuation rate, the peak position relative offset and the radar echo energy change ratio of time t-1:

[0099] ;

[0100] ;

[0101] ;

[0102] Wherein, , , respectively represent the frequency, the peak position offset, the radar echo energy of the first cable at time t, , , respectively represent the frequency, the peak position offset, the radar echo energy of the first cable at time t-1.

[0103] Embodiment 4

[0104] The cable monitoring method comprises: calculating the weighted coefficient :

[0105] ;

[0106] ;

[0107] ;

[0108] ;

[0109] Wherein, is a cable sequence normalized position factor, which changes according to the cable number position change.

[0110] The normalized parameter setting can make the system no longer rely on the absolute value at a certain moment, but pay attention to the relative change, which can more stably reflect the drift trend, and then the drift conditions of different cables can be compared under the same reference, improving the reliability of abnormal discrimination.

[0111] Embodiment 5

[0112] The judgment of whether the first score value is greater than the preset first threshold value and whether the second score value is greater than the preset second threshold value in the cable monitoring method further comprises the following steps:

[0113] The first preset threshold is calculated using the following formula:

[0114] ;

[0115] ;

[0116] ;

[0117] The preset second threshold is calculated using the following formula:

[0118] ;

[0119] in, This represents the first preset threshold. This indicates a preset second threshold. For the continuous measurement duration L frames before time t, the system evaluates the current global cable's first value. The mean value represents the normal rating level for the current cable condition. For the Lth time period First evaluation value of Lasso The standard deviation of the fluctuation is used to reflect the uncertainty or score fluctuation range of the overall cable target state. m is the sensitivity coefficient for judging cable offset, which is configured after measurement and calibration during field deployment. For sensing drift coefficient.

[0120] Example 6:

[0121] See Figure 2 As shown, the step of the cable monitoring method, if the radar cable distance meets the preset conditions, includes the following steps: obtaining a radar peak distance-radar echo energy intensity map; extracting the radar peak distance corresponding to all energy intensity peaks in the radar peak distance-radar echo energy intensity map; removing noise from the extracted radar peak distances to obtain the radar cable distance; and determining whether the radar cable distance meets the preset conditions.

[0122] When the system detects continuous positional drift of the cable, it immediately retrieves the radar peak distance-radar echo energy intensity map for the current moment, extracts the radar peak distance signals from the map sequentially, performs a Fast Fourier Transform (FFT) on each extracted radar peak distance signal, and extracts the actual frequency corresponding to the cable's radar peak distance to form candidate target pairs and construct a candidate target set.

[0123]

[0124] This serves as the basis for relocating the cable position. The constructed candidate target set contains clutter, therefore, it needs to undergo noise reduction processing.

[0125] Firstly, the monitoring system constructs a structural difference template between the cables according to historical data such as the average distance difference and frequency difference between adjacent cables at the initial steady state recorded by the system, to provide data reference for subsequent adaptive identification of drift peaks.

[0126] Secondly, the frequency data of the first k cables are updated based on the historical distance data at the steady state, and the possible positions of the first k+1 cables are predicted one by one. Referring to FIG. 6, when the deflection of the bridge changes, the position of the bridge deck moves, and the size of the movement is proportional to the horizontal distance from the cable tower. The farther away from the cable tower, the greater the change in the position of the bridge deck. The positions of the first k cables near the cable tower side are basically unchanged, and the first k cables tend to be stable during the monitoring process, which can be used to predict the possible positions of the first Figure 3 k+1 cables one by one.

[0127] Then, the structural consistency error of each group of data in the constructed candidate target set is calculated, and the size of the consistency error and the preset error threshold value is compared. The radar wave peak distance whose consistency error is less than the preset error threshold value is the radar cable distance. The preset error threshold value is a drift error threshold value set by the system, which is used to constrain the adaptive matching of the cables.

[0128] The identified radar cable distance is subjected to data cycle verification to ensure whether the actual physical relationship between the cables meets the preset condition that the radar cable distance with a smaller number is less than the radar cable distance with a larger number.

[0129] By constructing the candidate target set , and using the radar wave peak distance and the actual frequency information corresponding to the radar wave peak distance of the cable, the precise positioning of the radar peak drift corresponding to the cable can be achieved. The problem of misjudgment caused by relying on a single amplitude or frequency in the traditional method is solved, and stable identification in complex environments is achieved.

[0130] Embodiment 7:

[0131] The noise removal processing of the extracted radar wave peak distance to obtain the radar cable distance of the cable monitoring method includes the following steps: calculating the consistency error of each extracted radar wave peak distance, and retaining the radar wave peak distance whose consistency error is less than the preset error threshold value as the radar cable distance.

[0132] Since the radar collects all radar echo energy during the monitoring process, it is necessary to filter the interference terms such as power lines, power poles, trees, flying objects, etc. near the bridge which produce echo energy to obtain the actual cable radar echo energy. The echo energy produced by the interference terms can be effectively filtered out through the judgment of the consistency error value. ​

[0133] Example 8:

[0134] The consistency error of the calculated and extracted distance to each radar peak in the cable monitoring method includes the following steps:

[0135] The consistency error of each extracted radar peak distance is calculated using the following formula:

[0136] ;

[0137] in, Indicates consistency error. , Indicates the currently identified number The actual radar distance and frequency of the cable-stayed bridge. The frequency consistency error coefficient is determined by the cable distance-frequency error relationship, and... , This means that based on the steady-state historical radar cable distance data of the first k identified cables, the frequency data of the first k cables are updated, and the prediction of the first cable for each target is performed. Genlaso predicts distance. This indicates the distance between the peak value of the LAC radar and the peak value of the radar wave. This indicates the actual frequency corresponding to the distance between the radar peaks and the LAC.

[0138] By defining the consistency error formula This method integrates radar cable distance and frequency as two factors to form a quantifiable numerical criterion, providing an intuitive and calculable discrimination standard that is easy to implement in engineering. By combining multiple indicators (radar cable distance and frequency), false alarms caused by single-dimensional indicators can also be significantly reduced.

[0139] Example 9:

[0140] The cable monitoring method further includes the following steps:

[0141] Calculate the first according to the following formula. With the The average distance interval between the root cables and the first With the Average frequency difference between the root cables:

[0142] ;

[0143] ;

[0144] The differences in distance and frequency between adjacent cables are calculated using the following formulas:

[0145] ;

[0146] ;

[0147] wherein, , denotes the predicted radar cable distance of the nthcable and the predicted frequency, denotes the average distance interval between the nthcable and the mthcable in a steady state, denotes the average frequency difference between the nthcable and the mthcable in a steady state, denotes the average distance interval between the nthcable and the mthcable in a steady state, denotes the average frequency difference between the nthcable and the mthcable in a steady state, , the radar cable reference distance of the nthcable in a steady state and the cable reference frequency in a steady state, , the radar cable reference distance of the nthcable in a steady state and the cable reference frequency in a steady state. Embodiment 10: The method for monitoring the cable, wherein the judging whether the radar cable distance meets the preset condition comprises the following steps: carrying out data cycle verification on the radar cable distance to verify whether the radar cable distance meets the preset condition;

[0148] If yes, it is determined that the radar cable distance meets the preset condition; if no, it is determined that the radar cable distance does not meet the preset condition.

[0149] The method for monitoring the cable, wherein the judging whether the radar cable distance meets the preset condition comprises the following steps:

[0150] carrying out data cycle verification on the radar cable distance to verify whether the radar cable distance meets the preset condition;

[0151] If yes, it is determined that the radar cable distance meets the preset condition; if no, it is determined that the radar cable distance does not meet the preset condition.

[0152] The method for monitoring the cable, wherein the judging whether the radar cable distance meets the preset condition comprises the following steps:

[0153] ​​​In the description of the present application, it should be noted that the terms "upper", "lower", and the like are used for indicating the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting" should be understood broadly, for example, can be fixed connection, can also be detachable connection, or integral connection; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, can be the internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0154] It should be noted that in the present application, relational terms such as "first" and "second", and the like are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus including a series of elements includes not only those elements, but also other elements not explicitly listed, or other elements inherent to such a process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus including the element.

[0155] The above is only a specific embodiment of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of monitoring a stay cable, characterized in that The method comprises the following steps: Obtaining the frequency, peak position offset and radar echo energy of any cable, and calculating a first score value and a second score value according to the frequency, peak position offset and radar echo energy of the cable; Comparing the first score value of the cable with a preset first threshold value, if the first score value is not greater than the preset first threshold value, it is determined that the cable has not drifted, and the radar continues to monitor the cable; if the first score value is greater than the preset first threshold value, it is determined that the cable has drifted; Then, comparing the second score value of the cable with a preset second threshold value, if the second score value is not greater than the preset second threshold value, it is determined that the cable has not continuously drifted, and the radar continues to monitor the cable; if the second score value is greater than the preset second threshold value, it is determined that the cable has continuously drifted; Then, determining whether the radar cable distance corresponding to the cable that has continuously drifted satisfies the condition that the radar cable distance corresponding to a cable with a smaller number is smaller than the radar cable distance corresponding to a cable with a larger number; If yes, the radar actively re-identifies and positions the spatial position of the cable and continues to monitor the cable; if no, artificial assistance is used to correct the number binding to make the radar re-identify and position the spatial position of the cable and continue to monitor the cable.

2. The method of claim 1, wherein, The method further comprises the following steps: The first score value is calculated according to the following formula: ； ； The second score value is calculated according to the following formula: ； wherein, represents the first radar echo energy of the radar echo energy of the radar echo energy of the radar echo energy of the radar echo energy of the first score value of the radar echo energy of the radar echo energy of the ; representing the first root cable at time second score value; , , They are the first The ratio of the relative frequency fluctuation, relative shift of peak position, and change in radar echo energy of the genlach at time t to time t-1. Let be the weighting coefficient of the three indicators corresponding to the i-th cable. , It is the average of the stability score benchmark constructed by k short cables near the tower end.

3. The cable monitoring method according to claim 2, characterized in that: The first The relative fluctuation of the frequency of the root cable at time t and time t-1, and the relative offset of the peak position: ； ； in, , They represent the first The frequency and peak position offset of the root cable at time t. , They represent the first The frequency and peak position offset of the root cable at time t-1.

4. The cable monitoring method according to claim 2, characterized in that: The weighting coefficients are calculated according to the following formula : ； ； ； ； wherein, is the index normalized position factor.

5. The method of claim 1, wherein, The first score value of the cable is compared with a preset first threshold value, if the first score value is not greater than the preset first threshold value, it is determined that the cable has not drifted, and the radar continues to monitor the cable; if the first score value is greater than the preset first threshold value, it is determined that the cable has drifted; then, the second score value of the cable is compared with a preset second threshold value, if the second score value is not greater than the preset second threshold value, it is determined that the cable has not continuously drifted, and the radar continues to monitor the cable; if the second score value is greater than the preset second threshold value, it is determined that the cable has continuously drifted, and the method further comprises the following steps: The preset first threshold value is calculated according to the following formula: ； ； ； The preset second threshold value is calculated according to the following formula: ； wherein, represents a preset first threshold value, represents a preset second threshold value, is the mean value of the first evaluation value of the system to the current global cable in the continuous measurement time length L frames before t time, represents the normal score level of the current cable state, is the first evaluation value of the cable, is the standard deviation of the fluctuation of the first evaluation value of the cable, is used to reflect the uncertainty of the overall cable target state or the score fluctuation amplitude, and m is a cable deviation judgment sensitivity coefficient, which is configured after measurement calibration when deployed on site, is a drift sensing coefficient.

6. The method of claim 1, wherein, The method further comprises the following steps: Obtaining a radar peak distance-radar echo energy intensity graph; Extracting the radar peak distance corresponding to all energy intensity peaks in the radar peak distance-radar echo energy intensity graph; Removing noise from the extracted radar peak distance to obtain a radar cable distance; Determining whether the radar cable distance satisfies the condition that the radar cable distance corresponding to a cable with a smaller number is smaller than the radar cable distance corresponding to a cable with a larger number.

7. The method of monitoring a cable of claim 6, wherein, The method further comprises the following steps: Removing noise from the extracted radar peak distance to obtain a radar cable distance. The consistency error of each radar peak distance extracted is calculated, and the radar cable distance is the radar peak distance whose consistency error is less than a preset error threshold.

8. The method of monitoring a cable of claim 7, wherein, The consistency error of each radar peak distance extracted includes the following steps: The consistency error of each radar peak distance extracted is calculated according to the following formula: ； wherein, represents the consistency error, is the frequency consistency error coefficient determined from the cable distance-frequency error relationship, and , represents the first predicted distance of the kthcable based on the updated frequency data of the first k cables and the steady-state historical radar cable distance data of the first k cables identified, and is predicted target by target, represents the predicted distance of the kthcable, represents the radar peak distance corresponding to the cable radar peak, represents the actual frequency corresponding to the cable radar peak distance.

9. The method of claim 8, wherein the method further comprises: The consistency error of each radar peak distance extracted includes the following steps: The average distance separation between the first and the second root cable is calculated according to the formula: The average frequency difference between the first and the second root cable is calculated according to the formula: ； ； The adjacent cable distance difference and the adjacent cable frequency difference are calculated according to the following formula: ； ； wherein, , denotes the actual radar cable distance and frequency of the currently identified root cable, denotes the average distance separation between the and the root cable in steady state, denotes the average frequency difference between the and the root cable in steady state, , the radar cable reference distance of the root cable in steady state and the cable reference frequency in steady state, , the radar cable reference distance of the root cable in steady state and the cable reference frequency in steady state.

10. The method of claim 6, wherein, The judgment whether the radar cable distance satisfies the condition that the radar cable distance corresponding to the cable with a small number is less than the radar cable distance corresponding to the cable with a large number includes the following steps: Data cycle check is carried out on the radar cable distance to verify whether the radar cable distance meets ; If yes, it is determined that the radar cable distance satisfies the condition that the radar cable distance corresponding to the cable with a small number is less than the radar cable distance corresponding to the cable with a large number; if no, it is determined that the radar cable distance does not satisfy the condition that the radar cable distance corresponding to the cable with a small number is less than the radar cable distance corresponding to the cable with a large number.

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