Expressway high-voltage line full-life-cycle management system

Abstract

The invention discloses an expressway high-voltage line full-life-cycle management system which comprises the steps that S100, a GIS database is established, and information including the trend of a high-voltage cable and GPS positioning is recorded; s200, a monitoring point is arranged on a to-be-monitored line of the high-voltage cable, image information of the high-voltage cable is obtained at the monitoring point, and the image information is transmitted to the central server and temporarily stored; s300, the image information in the central server is processed, the processed image is intelligently analyzed, and an analysis report is generated; s400, associating the image information, the analysis report and information in a GIS database, and generating a visual map to display the high-voltage cable, the monitoring point position and the equipment state; s500, according to the analysis report, automatically identifying and classifying abnormal conditions, and according to classification of the abnormal conditions, sending out corresponding early warning notifications; and S600, operation and maintenance personnel perform on-site overhaul or maintenance operation according to the task guidance in the early warning notification. And 24-hour all-weather monitoring of the high-voltage line is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of high-voltage cable monitoring, and more specifically, relates to a full-life cycle management system for high-voltage lines on expressways. Background Art

[0002] To ensure the power supply for tunnels on expressways, a power distribution system is built synchronously during tunnel construction. High-voltage wires are erected in the power distribution system. Since most tunnels are built in mountainous areas, the high-voltage wires need to pass through the jungle. The growth rate of some trees is relatively fast. After the high-voltage wires come into contact with the tree branches, line grounding will be formed, which will interfere with the power supply. In case of rainy, snowy or humid weather, when people pass by or touch the trees, electric shock may occur, endangering the lives and health of pedestrians. Therefore, it is necessary to conduct regular inspections on high-voltage cables to avoid such situations. The initial inspection method was manual inspection, but manual inspection is time-consuming and laborious, prone to omissions, and it is also easy to encounter the above situations during manual inspection, resulting in electric shock risks.

[0003] Currently, the most widely used inspection methods are drone inspection and satellite remote sensing monitoring. Drone inspection: The drone is equipped with a high-definition camera and a data transmission module to perform the inspection task of high-voltage cables; Satellite remote sensing monitoring: Utilize the high-resolution imaging ability of satellites to conduct remote sensing monitoring of ground high-voltage cables. The above two inspection schemes can both improve the inconvenience brought by manual inspection and greatly enhance the inspection efficiency and accuracy.

[0004] However, drone inspection has the following problems: 1. The control range is small, and personnel need to go to nearby areas to operate the inspection. There is a certain delay in the flight and data transmission of the drone, and it is impossible to achieve full real-time monitoring; 2. The endurance ability is limited and it cannot operate for a long time. Especially in remote areas with continuous high-voltage cables, frequent charging or battery replacement is required; 3. Severe weather (such as strong wind, rain and snow) may limit the use of drones and affect the effectiveness of detection. Satellite remote sensing monitoring has the following problems: 1. The data processing volume is large, and the image transmission and processing delay is relatively high, making it difficult to achieve real-time processing and feedback; 2. Although the resolution of satellite images is high, there is still a gap in image details compared with those captured by ground cameras, which may affect the detection accuracy; 3. The rental and maintenance costs of satellite resources are high, and the initial investment and operating costs are large.

[0005] Therefore, a full-life cycle management system for high-voltage lines on expressways is needed to avoid on-site manual inspection, break through the limitations caused by the environment, ensure the inspection efficiency and accuracy, and control the actual application cost. Summary of the Invention

[0006] In view of the above deficiencies or improvement requirements of the prior art, the present invention provides a full-life cycle management system for high-voltage lines on expressways. By setting monitoring points on the lines to be monitored of high-voltage cables, the monitoring points collect image information, and after processing the collected image information, intelligent analysis is performed to generate an analysis report, automatically identify abnormal situations, and issue alarms. Moreover, all information is connected to the central server, and a visual map is generated to display the information of the equipment and the image information, enabling operators to perform remote inspections and view the automatic inspection and maintenance logs through it. It realizes 24-hour all-weather monitoring of high-voltage lines, can discover potential risks and hidden dangers at key nodes in advance, intervene and handle them in time, and avoid potential safety hazards in tunnels caused by power outages of the lines.

[0007] To achieve the above object, according to the first aspect of the embodiments of the present invention, a full-life cycle management method for high-voltage lines on expressways is provided, including the following steps:

[0008] S100. Establish a GIS database to record information including the route of high-voltage cables and GPS positioning;

[0009] S200. Set monitoring points on the lines to be monitored of high-voltage cables, obtain image information of the high-voltage cables at the monitoring points, and transmit the image information to the central server for temporary storage;

[0010] S300. Process the image information in the central server, perform intelligent analysis on the processed image, and generate an analysis report;

[0011] S400. Associate the image information and the analysis report with the information in the GIS database, and generate a visual map to display the positions of high-voltage cables, monitoring points, and the status of equipment;

[0012] S500. Automatically identify and classify abnormal situations according to the analysis report, and issue corresponding early warning notifications according to the classification of abnormal situations;

[0013] S600. Maintenance personnel perform on-site repair or maintenance operations according to the task guidelines in the early warning notification.

[0014] Further, in step S310, it specifically includes the following steps:

[0015] In step S300, it specifically further includes the following steps:

[0016] S310. The central server formats, denoises, and enhances the contrast of the received image information to improve the accuracy of subsequent analysis;

[0017] S320. Use intelligent algorithms to analyze the processed image information, identify the status of high-voltage cables, pole bases, and auxiliary equipment, and judge whether they are abnormal;

[0018] S330. Organize the analysis results into a report, recording normal and abnormal states.

[0019] Furthermore, in step S310, it specifically includes the following steps:

[0020] S311. Image formatting: Adjust all images to a unified size, convert color channels, and normalize pixel values to a fixed range between 0 and 1.

[0021] S312. Use mean filtering to smooth the image and reduce random noise. Gaussian filtering uses weighted averaging to effectively eliminate Gaussian noise. Median filtering is particularly suitable for removing salt-and-pepper noise by selecting the median of the neighborhood pixel values, while bilateral filtering can reduce the noise impact while retaining edge features.

[0022] S313. Enhance the contrast of image information through histogram equalization, gamma correction, stretching contrast, and linear or nonlinear transformation.

[0023] Furthermore, in step S321, due to thermal expansion and contraction, the sag will change within a normal range according to the temperature, and environmental factors including temperature, wind speed, and ice load as well as the influence of the wire span need to be considered. Specifically, it includes:

[0024] S3211. Based on the span between two adjacent pole bases, obtain the optimal sag of the high-voltage cable based on the variational principle.

[0025] S3212. Taking the optimal sag as a reference, set the high and low thresholds of the sag according to the actual situation, and input the images when the sag is at the high threshold and the low threshold as sag reference information.

[0026] S3213. Identify the position information of the high-voltage cable in the processed image information, compare it with the sag reference information, and determine whether it exceeds the high and low thresholds.

[0027] Furthermore, in step S3211, the specific method of obtaining the optimal sag of the high-voltage cable based on the variational principle is as follows: By minimizing the sum of the elastic potential energy and the gravitational potential energy, a nonlinear boundary value problem is obtained:

[0028]

[0029] Among them, E is the Young's modulus of the high-voltage cable material.

[0030] A is the cross-sectional area of the high-voltage cable.

[0031] w is the weight per unit length of the high-voltage cable.

[0032] L is the horizontal distance between two adjacent pole bases.

[0033] x is the horizontal distance of the high-voltage cable from one of the pole bases.

[0034] After solving through the Euler-Lagrange equation, it is obtained that:

[0035]

[0036] The boundary conditions of this equation are:

[0037] f(0) = 0

[0038] f(L) = 0,

[0039] According to this boundary condition, the optimal sag f(x) of the high-voltage cable is

[0040]

[0041] Furthermore, in step S322, it is necessary to monitor the inclination of the pole base and the auxiliary equipment, which specifically includes the following steps:

[0042] S3221. Establish a three-dimensional coordinate system. According to the set monitoring points, obtain the initial image information of the pole base and the auxiliary equipment, scan their initial surfaces, and conduct three-dimensional modeling.

[0043] S3222. According to the positions of the three-dimensional models in the three-dimensional coordinate system, obtain the initial point cloud information of the pole base and the auxiliary equipment.

[0044] S3223. Identify the outer surfaces of the pole base and the auxiliary equipment from the processed image information, and obtain the monitored point cloud information of the pole base and the auxiliary equipment.

[0045] S3224. Compare the monitored point cloud information with the initial point cloud information to obtain the difference points between the two point cloud informations. Through these difference points, judge the inclination degree of the pole base and the corrosion degree of the auxiliary equipment.

[0046] Furthermore, in step S323, it specifically includes the following steps:

[0047] S3231. Identify the high-voltage cable and foreign objects including trees from the processed image information.

[0048] S3232. Taking the high-voltage cable itself as the center, set a first-level warning area around the high-voltage cable according to its sag, and then set a second-level warning area around the first-level warning area.

[0049] S3233. Based on the shape and size of the tree in the image information, simulate its swing amplitude, and use this swing amplitude as the swing area.

[0050] S3234. Compare the swinging area with the area around the first-level warning area or the second-level warning area and the overlapping area to determine the possibility of the branches contacting the high-voltage cable.

[0051] Further, in step S3232, the first-level warning area is determined based on the state of the high-voltage cable and the maximum amplitude of its swing. If the swinging area coincides with the first-level warning area, it indicates that there is a high probability that the branches and the high-voltage cable will come into contact in strong wind weather.

[0052] The second-level warning area is an area expanded outward based on the first-level warning area. If the swinging area coincides with the second-level warning area, it indicates that in strong wind weather, the branches and the high-voltage cable will not come into contact, but if no measures are taken, the growth of the branches will cause the swinging area to coincide with the first-level warning area.

[0053] The purpose of the second-level warning area is to provide early warning for the operators to prevent the swinging area from reaching the level of coinciding with the first-level warning area.

[0054] Further, in step S200, it specifically further includes the following steps:

[0055] S210. Conduct on-site surveys on the line to be monitored, divide the line to be monitored into multiple monitoring areas, and select a monitoring point in each monitoring area to ensure that the high-definition camera in each monitoring point can obtain all the image information in its area.

[0056] S220. Number each monitoring point and synchronize the numbered information to the GIS database.

[0057] S230. Start monitoring, and the high-definition camera in each monitoring point regularly captures the image information in its monitoring area.

[0058] S240. Transmit the captured image information to the central server using the ad hoc network technology, and adopt an efficient coding and compression algorithm during the transmission process to reduce data transmission delay and bandwidth consumption.

[0059] According to the second aspect of the embodiments of the present invention, there is provided a full-life cycle management system for high-speed highway high-voltage lines, including:

[0060] Data recording module: used to establish a GIS database and record information including the route of the high-voltage cable and GPS positioning.

[0061] Data monitoring module: used to set monitoring points on the line to be monitored of the high-voltage cable, obtain the image information of the high-voltage cable at the monitoring points, and transmit the image information to the central server for temporary storage.

[0062] Data processing module: used to process the image information in the central server, perform intelligent analysis on the processed images, and generate an analysis report;

[0063] Data collation module: used to associate the image information, analysis report with the information in the GIS database, and generate a visual map to display the high-voltage cable, monitoring point location and equipment status;

[0064] Early warning module: used to automatically identify and classify abnormal situations according to the analysis report, and issue corresponding early warning notifications according to the classification of abnormal situations;

[0065] Maintenance module: used for maintenance personnel to perform on-site maintenance or repair operations according to the task guidance in the early warning notification.

[0066] Generally speaking, compared with the prior art through the above technical solutions conceived by the present invention, the following beneficial effects can be obtained:

[0067] 1. The monitoring method of the present invention sets monitoring points on the line to be monitored of the high-voltage cable, collects image information by the monitoring points, performs intelligent analysis on the collected image information to generate an analysis report, automatically identifies abnormal situations, and issues an alarm. And all information is connected to the central server, and a visual map is generated to display the equipment information and image information, enabling operators to perform remote inspections and view the automatic inspection and maintenance logs. It realizes 24-hour all-weather monitoring of high-voltage lines, can discover potential risks and hidden dangers at key nodes in advance, intervene and handle them in time, and avoid tunnel safety hazards caused by line power outages.

[0068] 2. The monitoring method of the present invention has high intelligence and fast response capabilities. Its intelligent inspection function does not require manual intervention, can automatically inspect high-voltage line equipment and cable channels, obtain line status information in real time, and quickly identify hidden dangers and faults. The system can complete the routine inspection of all points on the high-voltage line in a short time, breaking through the limitations of long inspection time for personnel and machines, and significantly improving the inspection frequency.

[0069] 3. The monitoring method of the present invention improves the line management and maintenance efficiency through GPS positioning technology, such as tree obstacle clearance, equipment inspection, etc., and facilitates managers to conduct inspections, repairs and maintenance on the line. When maintenance personnel click on the corresponding tower on the system, the system will display the location of the tower and related equipment information, and the operators can obtain navigation route information, so as to quickly reach the designated line tower, greatly improving the maintenance efficiency.

[0070] 3. The monitoring method of the present invention can input detailed information such as the types of power transmission and transformation poles, cables, and equipment collected in the early stage to achieve information-based management of equipment. Through the patrol management function, the system records the inspection and maintenance situations in detail to ensure that everything is "traceable", thereby realizing efficient management of the entire life cycle of equipment use, maintenance, and management.

[0071] 4. The monitoring method of the present invention can conduct special patrols in a timely manner according to needs under various harsh weather conditions, collect the operating status of important equipment, and make up for the deficiencies of manual patrols under harsh conditions.

[0072] 5. The monitoring method of the present invention greatly saves human resources, reduces the line maintenance cost, optimizes the maintenance mode, significantly improves the line management efficiency, shortens the problem handling time, enhances the safety of line operation, effectively prevents and reduces accidents, and comprehensively improves the enterprise's line management level and safety service ability. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a schematic flow chart of a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention;

[0074] Figure 2 It is a schematic flow chart of step S200 in a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention;

[0075] Figure 3 It is a schematic flow chart of step S300 in a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention;

[0076] Figure 4 It is a schematic flow chart of step S310 in a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention;

[0077] Figure 5 It is a schematic flow chart of step S320 in a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention;

[0078] Figure 6 It is a schematic flow chart of step S321 in a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention;

[0079] Figure 7 It is a schematic flow chart of step S322 in a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention;

[0080] Figure 8 It is a schematic flow chart of step S323 in a full life cycle management method for high-voltage lines on expressways according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0081] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0082] Embodiment 1

[0083] The embodiment of the present invention provides a full life cycle management method for high-voltage lines on expressways, which specifically includes the following steps:

[0084] S100. Establish a GIS database to record information including the route of high-voltage cables and GPS positioning;

[0085] S200. Set monitoring points on the lines to be monitored of the high-voltage cables, obtain image information of the high-voltage cables at the monitoring points, and transmit the image information to the central server for temporary storage;

[0086] S300. Process the image information in the central server, perform intelligent analysis on the processed image, and generate an analysis report;

[0087] S400. Associate the image information and the analysis report with the information in the GIS database to generate a visual map to display the positions of high-voltage cables, monitoring points and equipment status;

[0088] S500. Automatically identify and classify abnormal situations according to the analysis report, and issue corresponding early warning notifications according to the classification of abnormal situations;

[0089] S600. Maintenance personnel perform on-site repair or maintenance operations according to the task guidance in the early warning notification.

[0090] Before step S600, it further includes: inputting the lines to be monitored into the map, making each monitoring point displayed in the map, and marking the locations where abnormal situations occur in the map to form navigation information, which is sent along with the early warning notification. In step S600, when the maintenance personnel receive the early warning information, they directly reach the locations where abnormal situations occur according to the navigation information therein.

[0091] In step S100, a high-definition camera, a storage battery and a solar panel are set at each of the monitoring points. The image information of the high-voltage cables is obtained through the high-definition camera, the storage battery provides power support for the high-definition camera, and the solar panel charges the storage battery during the day.

[0092] In step S200, it specifically further includes the following steps:

[0093] S210. Conduct on-site surveys on the line to be monitored, divide the line to be monitored into multiple monitoring areas, select a monitoring point in each monitoring area to ensure that the high-definition cameras in each monitoring point can obtain all the image information in their respective areas;

[0094] S220. Number each monitoring point and synchronize the numbered information to the GIS database;

[0095] S230. Start monitoring. The high-definition cameras in each monitoring point regularly capture the image information in their respective monitoring areas;

[0096] S240. Transmit the captured image information to the central server using ad hoc network technology, and adopt efficient encoding and compression algorithms during the transmission process to reduce data transmission latency and bandwidth consumption.

[0097] In step S300, it specifically further includes the following steps:

[0098] S310. The central server formats, denoises, and enhances the contrast of the received image information to improve the accuracy of subsequent analysis;

[0099] S320. Use intelligent algorithms to analyze the processed image information, identify the states of high-voltage cables, pole bases, and ancillary equipment, and determine whether they are abnormal;

[0100] S330. Organize the analysis results into a report, recording normal and abnormal states.

[0101] In step S310, it specifically further includes the following steps:

[0102] S311. Image formatting: Adjust all images to a unified size, convert color channels, and normalize pixel values to a fixed range between 0 and 1;

[0103] S312. Use mean filtering to smooth the image and reduce random noise, Gaussian filtering to effectively eliminate Gaussian noise using weighted averaging, median filtering to be particularly suitable for removing salt-and-pepper noise by selecting the median of neighboring pixel values, and bilateral filtering to reduce noise effects while retaining edge features;

[0104] S313. Enhance the contrast of image information through histogram equalization, gamma correction, stretching contrast, and linear or nonlinear transformation.

[0105] Due to being in the external natural environment, high-voltage cables may swing within a certain range in windy environments. When the swing amplitude is small, it will not cause any impact. However, if the swing amplitude is too large, resulting in a significant sag of the high-voltage cable, there will be a risk of the high-voltage cable breaking, and at the same time, the probability of contact with tree branches will increase. Moreover, some auxiliary equipment is exposed to the environment for a long time, and the connecting parts will corrode, leading to the risk of these auxiliary equipment falling, thus posing a potential hazard to power supply. In step S320, it is necessary to consider the states of the high-voltage cable, the pole base, and the auxiliary equipment to determine whether there are risks including cable breakage and overturning for the high-voltage cable; it is also necessary to consider the length of the tree branches beside the high-voltage cable to determine whether there is a risk of branch contact. Specifically, it includes the following steps:

[0106] S321. Through image comparison, analyze the sag of the high-voltage cable and record whether its sag exceeds the warning value;

[0107] S322. Analyze the state of the pole base and the connection of the auxiliary equipment, and record its connection tightness;

[0108] S323. Identify the distance between the tree branch and the high-voltage cable, analyze the possibility of the tree branch contacting the high-voltage cable and record it.

[0109] In step S321, due to thermal expansion and contraction, the sag will change within a normal range according to the temperature. And it is necessary to consider environmental factors including temperature, wind speed, and ice load, as well as the influence of the wire span. Specifically, it includes the following steps:

[0110] S3211. Based on the span between two adjacent pole bases, obtain the optimal sag of the high-voltage cable based on the variational principle;

[0111] S3212. Taking the optimal sag as a reference, set the upper and lower thresholds of the sag according to the actual situation, and input the images when the sag is at the upper threshold and the lower threshold as sag reference information;

[0112] S3213. Identify the position information of the high-voltage cable from the processed image information, compare it with the sag reference information, and determine whether it exceeds the upper and lower thresholds.

[0113] In step S3211, the specific method of obtaining the optimal sag of the high-voltage cable based on the variational principle is as follows: By minimizing the sum of the elastic potential energy and the gravitational potential energy, a nonlinear boundary value problem is obtained:

[0114]

[0115] Among them, E is the Young's modulus of the high-voltage cable material,

[0116] A is the cross-sectional area of the high-voltage cable,

[0117] w is the weight per unit length of the high-voltage cable,

[0118] L is the horizontal distance between two adjacent pole bases,

[0119] x is the horizontal distance of the high-voltage cable from one of the pole bases;

[0120] After solving through the Euler-Lagrange equation, we get:

[0121]

[0122] The boundary conditions of this equation are:

[0123] f(0) = 0

[0124] f(L) = 0,

[0125] According to this boundary condition, the optimal sag f(x) of the high-voltage cable is

[0126]

[0127] In step S322, when the pole base is in normal use, it bears the main weight of the high-voltage cable. Under the action of external loads, it may tilt to varying degrees. When the tilt angle is too large, it indicates that the bottom embedding may be loose and the high-voltage cable is at risk of overturning; during the long-term use of the auxiliary equipment, it will also be corroded to varying degrees. When the corrosion degree is relatively large, it will cause the high-voltage cable to fall off from the pole base and lose support. Therefore, it is necessary to monitor the tilt degree of the pole base and the auxiliary equipment, which specifically includes the following steps:

[0128] S3221. Establish a three-dimensional coordinate system. According to the set monitoring points, obtain the initial image information of the pole base and the auxiliary equipment, scan their initial surfaces, and perform three-dimensional modeling;

[0129] S3222. According to the positions of the three-dimensional models in the three-dimensional coordinate system, obtain the initial point cloud information of the pole base and the auxiliary equipment;

[0130] S3223. Identify the outer surfaces of the pole base and the auxiliary equipment from the processed image information, and obtain the monitoring point cloud information of the pole base and the auxiliary equipment;

[0131] S3224. Compare the monitoring point cloud information with the initial point cloud information to obtain the difference points between the two point cloud informations. Through these difference points, judge the tilt degree of the pole base and the corrosion degree of the auxiliary equipment.

[0132] In step S3221, the surfaces of the pole base and the auxiliary equipment are represented by a parameterized manifold M, where each point P i is represented as a point (u i , vi ), namely:

[0133] P(u, v) = (x(u, v), y(u, v), z(u, v)),

[0134] to obtain the data point set {P i}}, through this data point set {P i}}, use the radial basis function (RBF) interpolation reconstruction technology to restore the approximate original surface M, specifically:

[0135]

[0136] where φ is the radial basis function,

[0137] w i is the weight coefficient,

[0138] r is the position vector of the initial data point,

[0139] r i is the position vector of the i-th data point.

[0140] In step S3223, considering that the states of the pole base and auxiliary equipment will change over time, it is necessary to dynamically update the monitoring point cloud information. Therefore, a time series model is constructed to track the change of the point cloud over time, specifically:

[0141] x k|k-1 = Ax k-1|k-1 + Bu k + w k ,

[0142] z k = Hx k|k-1 + v k ,

[0143] where x is the state vector,

[0144] u is the control input,

[0145] W is the process noise,

[0146] Z is the observed value,

[0147] V is the measurement noise,

[0148] k is the time,

[0149] A, B, and H are system matrices.

[0150] In step S3224, when comparing two point cloud information, a multi-scale energy functional is established, and then the Euler-Lagrange equation is solved to find the solution that minimizes the energy. The multi-scale energy functional E(C, C′) is:

[0151]

[0152] Among them, D s is the distance metric at the S-th scale,

[0153] R s is the regularization term at the S-th scale,

[0154] λ s is the balance factor,

[0155] S is the number of scales,

[0156] C is the point cloud data set in the initial state,

[0157] is the new point cloud data set in the monitoring state.

[0158] For the inclination angle of the pole base, by using tensor field analysis, by constructing the second-order tensor field T(u, v) of the surface, solving its eigenvalues and eigenvectors to obtain fine direction information, specifically:

[0159]

[0160] Among them, n is the unit normal vector of the surface at the point (u, v),

[0161] is the gradient of the normal vector n, specifically a matrix, and its elements represent the change rate of the normal vector in each direction.

[0162] In step S323, since both the high-voltage cable and the tree branch will be affected by strong wind weather, in normal weather, the distance between the two is within a safe distance. Once encountering strong wind weather, both of them will swing, and during the swinging process, they will collide and come into contact, and the tree branch will hang on the high-voltage cable. Therefore, when conducting the analysis, the swinging of the two needs to be considered. Specifically, it includes the following steps:

[0163] S3231. In the processed image information, identify the high-voltage cable and foreign objects including trees;

[0164] S3232. Taking the high-voltage cable itself as the center, set a first-level warning area around the high-voltage cable according to its sag, and then set a second-level warning area around the first-level warning area;

[0165] S3233. Based on the shape and size of the tree in the image information, simulate its swinging amplitude, and use this swinging amplitude as the swinging area;

[0166] S3234. Compare whether the swinging area coincides with the area around the first-level warning area or the second-level warning area and the coincident area to determine the possibility of tree branches contacting high-voltage cables.

[0167] In step S3232, the first-level warning area is determined based on the state of the high-voltage cable and its maximum swinging amplitude. If the swinging area coincides with the first-level warning area, it indicates that there is a high probability that the tree branches and the high-voltage cable will come into contact in strong wind weather. The second-level warning area is an area expanded outward based on the first-level warning area. If the swinging area coincides with the second-level warning area, it means that in strong wind weather, the tree branches and the high-voltage cable will not come into contact, but if no measures are taken, the growth of the tree branches will cause the swinging area to coincide with the first-level warning area. The purpose of the second-level warning area is to provide early warning for operators to prevent the swinging area from reaching the level of coinciding with the first-level warning area.

[0168] In step S3232, the first-level warning area is set separately according to the position of the high-voltage cable in each image information, that is, it is dynamically adjusted according to the different positions of the high-voltage cable.

[0169] In step S3233, since the root of the tree gradually becomes smaller upward and its fixed point is at the root, the swinging amplitude shows the law of being larger at the top and smaller at the bottom. Therefore, before determining the swinging area, a large number of dynamic pictures of tree swinging are input into the central server. The central server learns the tree swinging law based on the provided dynamic pictures and simulates the swinging amplitude of the tree in the image information after learning.

[0170] In step S3233, specifically: a mechanical model of the tree based on wind load is established through beam theory, specifically:

[0171]

[0172] where E is the Young's modulus of the tree,

[0173] I is the moment of inertia of the cross-section,

[0174] w(x) is the displacement along the tree trunk height x,

[0175] q(x) is the distributed load.

[0176] The distributed load q(x) includes the wind force F w , specifically:

[0177]

[0178] where C d is the drag coefficient,

[0179] ρ is the air density,

[0180] υ w is the wind speed,

[0181] A t is the windward area of the tree crown.

[0182] Due to the randomness of wind speed and direction, Brownian motion in stochastic calculus is used to describe this uncertainty, specifically:

[0183] dX(t) = μ(X(t), t)dt + σ(X(t), t)dW(t),

[0184] where X(t) is the position of the tree top,

[0185] μ is the drift term,

[0186] σ is the diffusion coefficient,

[0187] dW(t) is the increment of the Wiener process.

[0188] Moreover, the geometric shape of the tree, including the trunk thickness and branch structure, has a significant impact on the swinging characteristics. A shape function is introduced to describe the stiffness change at different heights, making the top easier to swing while the bottom is more stable. The specific shape function f(h) is as follows:

[0189]

[0190] where h is the height along the trunk,

[0191] H is the total height of the tree.

[0192] Preferably, the shape function f(h) is used for the elastic modulus or moment of inertia to obtain a more realistic mechanical response.

[0193] In step S3234, to evaluate whether the area after the tree swings overlaps with the warning area, a geometric intersection algorithm is used. Specifically: First, check whether the minimum bounding rectangles of the two areas intersect to quickly rule out obvious non - overlapping cases; if the bounding boxes intersect, then further use a more accurate polygon intersection algorithm to calculate the actual intersection area; for trees and warning areas with complex shapes, three - dimensional volume intersection calculation can be adopted, and grid - based methods or voxel representations can be used for accurate volume comparison.

[0194] Embodiment 2

[0195] The embodiment of the present invention provides a full - life - cycle management system for high - voltage lines on expressways, including:

[0196] Data recording module: used to establish a GIS database and record information including the route of high - voltage cables and GPS positioning;

[0197] Data monitoring module: It is used to set monitoring points on the line to be monitored of the high-voltage cable, obtain the image information of the high-voltage cable at the monitoring points, and transmit the image information to the central server for temporary storage;

[0198] Data processing module: It is used to process the image information in the central server, perform intelligent analysis on the processed image, and generate an analysis report;

[0199] Data sorting module: It is used to associate the image information, analysis report with the information in the GIS database, and generate a visual map to display the high-voltage cable, the positions of the monitoring points and the equipment status;

[0200] Early warning module: It is used to automatically identify and classify abnormal situations according to the analysis report, and issue corresponding early warning notifications according to the classification of abnormal situations;

[0201] Maintenance module: It is used for maintenance personnel to perform on-site repair or maintenance operations according to the task guidance in the early warning notification.

[0202] Preferably, information including pole bases, cables and equipment models is pre-entered in the system to realize the information management of equipment.

[0203] Embodiment 3

[0204] The embodiment of the present invention provides an intelligent inspection method for foreign objects on high-voltage cables, including the following steps:

[0205] R100. Project the visual map generated in step S400 onto the controller and display the information of each monitoring point;

[0206] R200. By clicking on each monitoring point, remotely obtain the real-time image at the monitoring point and view the information of each device at the monitoring point;

[0207] R300. By adjusting the angle of the camera, fully cover the monitoring area, and monitor each monitoring point in sequence to complete the inspection of all monitoring areas;

[0208] R400. The system automatically records the inspection information, details the inspection and repair situations, realizes patrol management, and in the patrol management, online view the inspection records.

[0209] Those skilled in the art can easily understand that the above description is only a preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0210] Embodiment 4

[0211] An embodiment of the present invention provides an intelligent inspection device for foreign objects on high-voltage cables, which is used to implement an intelligent inspection method for foreign objects on high-voltage cables as described in Embodiment 1. It includes a high-voltage line monitoring device installed on a high-voltage pole, which has functions of real-time monitoring, automatic data analysis, solar non-stop power supply, and communication. It includes a high-definition network camera, a wireless bridge, a solar photovoltaic panel, a storage battery, and a management server. The high-definition network camera is connected to the wireless bridge through a network cable, and the captured monitoring data is transmitted to the data processing server in the computer room through the wireless bridge for analysis and processing. At the same time, the wireless bridge can receive control instructions from the data processing server to control various actions of the high-definition camera. The camera and the wireless bridge are connected to the storage battery through a power cord to obtain a stable power supply. The solar photovoltaic panel is connected to the storage battery through an electric wire to charge the storage battery during the day.

[0212] Data processing server: A server placed in the computer room of the management area, which integrates data analysis and storage functions, can receive data from monitoring devices, and perform processing and storage.

[0213] Self-organizing network data transmission device, which is a dedicated wireless bridge, establishes a self-organizing network with multiple terminal devices, and realizes data transmission through seamless connection.

[0214] Mobile terminal application, which is a portable device, can display the status information and fault warnings of high-voltage lines, facilitating on-site inspections and decision-making by management personnel.

[0215] PC terminal application, an application program running on the PC terminal, is used to monitor and manage the real-time status of high-voltage lines, supports map visualization display and analysis of high-voltage line data, and locates and identifies the line direction and pole number in combination with GIS geographic information.

Claims

1. A full - life - cycle management method for high - voltage lines on expressways, characterized in that, It includes the following steps: S100. Establish a GIS database to record information including the route of high-voltage cables and GPS positioning; S200. Set monitoring points on the cable routes to be monitored of the high-voltage cables, obtain the image information of the high-voltage cables at the monitoring points, and transmit the image information to the central server for temporary storage; S300. Process the image information in the central server, perform intelligent analysis on the processed images, and generate an analysis report; S400. Associate the image information and the analysis report with the information in the GIS database to generate a visual map to display the positions of high-voltage cables, monitoring points, and equipment status; S500. Automatically identify and classify abnormal situations according to the analysis report, and issue corresponding warning notifications according to the classification of abnormal situations; S600. The operation and maintenance personnel perform on-site repair or maintenance operations according to the task guidance in the warning notification.

2. The full - life - cycle management method of high - voltage lines on expressways according to claim 1, characterized in that, In step S310, it specifically includes the following steps: In step S300, it specifically further includes the following steps: S310. The central server performs formatting, denoising, and contrast enhancement on the received image information to improve the accuracy of subsequent analysis; S320. Use intelligent algorithms to analyze the processed image information, identify the status of high-voltage cables, pole bases, and ancillary equipment, and determine whether they are abnormal; S330. Organize the analysis results into a report and record the normal and abnormal states.

3. The full-life cycle management method of high-voltage lines on expressways according to claim 2, wherein, In step S310, it specifically includes the following steps: S311. Image formatting: Adjust all images to a unified size, convert color channels, and normalize pixel values to a fixed range between 0 and 1; S312. Use mean filtering to smooth the image and reduce random noise, Gaussian filtering to effectively eliminate Gaussian noise by weighted averaging, median filtering to be particularly suitable for removing salt-and-pepper noise by selecting the median of neighborhood pixel values, and bilateral filtering to reduce the noise impact while retaining edge features; S313. Enhance the contrast of image information through histogram equalization, gamma correction, stretching contrast, and linear or nonlinear transformation.

4. The full life cycle management method of high-voltage lines on expressways according to claim 3, characterized in that In step S321, due to thermal expansion and contraction, the sag will change within the normal range according to the temperature, and environmental factors including temperature, wind speed, and ice load as well as the influence of wire span need to be considered. Specifically, it includes: S3211. Based on the span between two adjacent pole bases, obtain the optimal sag of the high-voltage cable based on the variational principle; S3212. Based on the optimal sag, set the high and low thresholds of the sag according to the actual situation, and input the images when the sag is at the high threshold and the low threshold as the sag reference information; S3213. Identify the position information of the high-voltage cable in the processed image information, compare it with the sag reference information, and determine whether it exceeds the high and low thresholds.

5. The full-life cycle management method for high-voltage lines on expressways according to claim 4, characterized in that In step S3211, the obtaining of the optimal sag of the high-voltage cable based on the variational principle is specifically: by minimizing the sum of the elastic potential energy and the gravitational potential energy, a nonlinear boundary value problem is obtained: where E is the Young's modulus of the high-voltage cable material, A is the cross-sectional area of the high-voltage cable, w is the weight per unit length of the high-voltage cable, L is the horizontal distance between two adjacent pole bases, x is the horizontal distance from the high-voltage cable to one of the pole bases; After solving through the Euler-Lagrange equation, it is obtained that: The boundary conditions of this equation are: f(0)＝0 f(L) = 0, According to this boundary condition, the optimal sag f(x) of the high-voltage cable is 6. The full - life - cycle management method for high - voltage lines on expressways according to claim 3, characterized in that, In step S322, it is necessary to monitor the inclination of the pole base and the attached equipment, which specifically includes the following steps: S3221. Establish a three-dimensional coordinate system. According to the set monitoring points, obtain the initial image information of the pole base and the attached equipment, scan their initial surfaces, and perform three-dimensional modeling; S3222. According to the positions of the three-dimensional models in the three-dimensional coordinate system, obtain the initial point cloud information of the pole base and the attached equipment; S3223. Identify the outer surfaces of the pole base and the attached equipment from the processed image information, and obtain the monitored point cloud information of the pole base and the attached equipment; S3224. Compare the monitored point cloud information with the initial point cloud information to obtain the difference points between the two point cloud informations. Through these difference points, judge the inclination degree of the pole base and the corrosion degree of the attached equipment.

7. A full-life-cycle management method for high-voltage lines on expressways according to claim 3, characterized in that In step S323, it specifically includes the following steps: S3231. Identify the high-voltage cable and foreign objects including trees from the processed image information; S3232. Taking the high-voltage cable itself as the center, set a first-level warning area around the high-voltage cable according to its sag, and then set a second-level warning area around the first-level warning area; S3233. Based on the shape and size of the trees in the image information, simulate their swinging amplitude, and use this swinging amplitude as the swinging area; S3234. Compare whether the swinging area coincides with the area around the first-level warning area or the second-level warning area and the coincident area to judge the possibility of tree branches contacting the high-voltage cable.

8. A full - life - cycle management method for high - voltage lines on expressways according to claim 7, characterized in that, In step S3232, the first-level warning area is determined based on the state of the high-voltage cable and its maximum swinging amplitude. If the swinging area coincides with the first-level warning area, it indicates that there is a high probability that the tree branches will come into contact with the high-voltage cable in strong wind weather; The second-level warning area is an area expanded outward on the basis of the first-level warning area. If the swinging area coincides with the second-level warning area, it indicates that in strong wind weather, the tree branches will not come into contact with the high-voltage cable, but if no measures are taken, the growth of the tree branches will cause the swinging area to coincide with the first-level warning area; The purpose of the second-level warning area is to provide early warning for the operators to prevent the swinging area from reaching the degree of coinciding with the first-level warning area.

9. A full - life - cycle management method for high - voltage lines on expressways according to any one of claims 1 - 8, characterized in that, In step S200, it specifically further includes the following steps: S210. Conduct on-site surveys on the line to be monitored, divide the line to be monitored into multiple monitored areas, and select a monitoring point in each monitored area to ensure that the high-definition camera in each monitoring point can obtain all the image information in its area; S220. Number each monitoring point and synchronize the numbered information to the GIS database; S230. Start monitoring, and the high-definition camera in each monitoring point regularly captures the image information in its monitored area; S240. Transmit the captured image information to the central server using ad hoc network technology, and adopt efficient encoding and compression algorithms during the transmission process to reduce data transmission latency and bandwidth consumption.

10. A full life cycle management system for high-voltage lines on expressways, which is used to implement a full life cycle management method for high-voltage lines on expressways as described in any one of claims 1-9, characterized in that, Including: Data recording module: used to establish a GIS database and record information including the route of high-voltage cables and GPS positioning; Data monitoring module: used to set monitoring points on the lines to be monitored of high-voltage cables, obtain the image information of high-voltage cables at the monitoring points, transmit the image information to the central server and temporarily store it; Data processing module: used to process the image information in the central server, perform intelligent analysis on the processed images, and generate an analysis report; Data sorting module: used to associate the image information, analysis report with the information in the GIS database, and generate a visualization map to display the positions of high-voltage cables, monitoring points and equipment status; Early warning module: used to automatically identify and classify abnormal situations according to the analysis report, and issue corresponding early warning notifications according to the classification of abnormal situations; Maintenance module: used for maintenance personnel to perform on-site maintenance or repair operations according to the task guidance in the early warning notification.

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