Power transmission line inspection system based on 5G network

Abstract

The invention belongs to the technical field of power transmission line inspection, and particularly relates to a power transmission line inspection system based on a 5G network. Comprising an inspection management center which is in communication connection with a temperature measurement acquisition module, a temperature correction module, a temperature analysis module, an inspection maintenance module and an inspection optimization module. The temperature measurement acquisition module is used for acquiring and drawing an acquisition time-acquisition temperature curve, the temperature correction module is used for correcting the acquisition time-acquisition temperature curve according to the environment temperature, the temperature analysis module is used for evaluating the operation state of the power transmission line, and the inspection maintenance module is used for maintaining the power transmission line. And the inspection optimization module is used for optimizing judgment conditions of the running state of the power transmission line. According to the invention, accurate evaluation of the operation state of the power transmission line is realized, the influence of the environment temperature on the temperature measurement of the power transmission line is fully considered, the potential risk power transmission line can be effectively identified, and the inspection strategy is dynamically adjusted according to the actual operation condition of the power transmission line.

Description

Technical Field

[0001] The present invention belongs to the field of power transmission line inspection technology and relates to data analysis technology, specifically a power transmission line inspection system based on 5G network. Background Art

[0002] As critical infrastructure for power transmission, the safe and stable operation of transmission lines is crucial for ensuring power supply. With the continuous expansion of power grids and the growing demand for electricity, higher requirements are being placed on transmission line inspections. Furthermore, the rapid development of 5G network technology, with its high speed, low latency, and large capacity, has brought new development opportunities for transmission line inspection systems.

[0003] Existing transmission line inspection technologies often fail to fully consider the impact of ambient temperature on transmission line temperature measurement, making it difficult to ensure the accuracy of temperature data. At the same time, they lack in-depth analysis of the operating status of transmission lines, and are prone to overlooking some transmission lines in potential risk states. They also cannot dynamically adjust inspection strategies based on the actual operating conditions of transmission lines, leading to missed judgments and misjudgments.

[0004] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0005] The purpose of the present invention is to provide a 5G network-based power transmission line inspection system to address the problem that existing power transmission line inspection technologies do not fully consider the impact of ambient temperature on transmission line temperature measurement, and cannot dynamically adjust inspection strategies based on the actual operating conditions of the transmission lines. The technical problem to be solved by the present invention is: how to provide a transmission line inspection system based on a 5G network that can fully consider the impact of ambient temperature on the temperature measurement of the transmission line and dynamically adjust the inspection strategy according to the actual operation conditions of the transmission line.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The 5G network-based power transmission line inspection system includes an inspection management center, which is communicatively connected to a temperature measurement and acquisition module, a temperature correction module, a temperature analysis module, an inspection maintenance module, and an inspection optimization module; The temperature measurement and acquisition module is used to collect the temperature of the transmission line: a drone equipped with an infrared thermometer is used to photograph the transmission line, and a collection time-collection temperature curve is drawn based on the photographing results; The temperature correction module is used to correct the acquisition time-acquisition temperature curve according to the ambient temperature: when the infrared thermometer is photographing the transmission line, the temperature sensor carried by the drone is used to collect the ambient temperature HWh, where h is a positive integer representing the number of collected ambient temperatures, and the acquisition time HTh corresponding to each ambient temperature HWh is recorded; the acquisition time-acquisition temperature curve is corrected according to the ambient temperature HWh, and the acquisition time-temperature correction curve is determined; The temperature analysis module is used to evaluate the operating status of the transmission line as dangerous, abnormal or safe based on the acquisition time-temperature correction curve; The inspection and maintenance module is used to maintain the transmission line according to the operating status of the transmission line: when the operating status of the transmission line is dangerous, the dangerous transmission line section of the transmission line is obtained and sent to the inspection management center; when the operating status of the transmission line is abnormal, a high-density inspection is performed on the transmission line; The inspection optimization module is used to optimize the judgment conditions of the operation status of the transmission line: when the operation status of the transmission line is abnormal or safe, the transmission line is continuously monitored and the judgment conditions of the operation status are optimized.

[0007] Furthermore, the UAV flies parallel to the power transmission line at a fixed speed, and the distance between the UAV and the power transmission line is fixed when flying, and the shooting angle of the infrared thermometer is perpendicular to the power transmission line when shooting.

[0008] Furthermore, the process of drawing the acquisition time-acquisition temperature curve includes: extracting every three frames of the video captured by the infrared thermometer to obtain several frames of captured images, identifying, locating, and segmenting the transmission lines in the captured images to obtain several frames of infrared images of the transmission lines; obtaining the timestamp of each frame of the infrared image and marking it as the acquisition time, converting the infrared radiation values corresponding to the leftmost 10 pixels in each frame of the infrared image into temperature values and summing and averaging them to obtain the acquisition temperature; establishing a plane rectangular coordinate system with the acquisition time as the X-axis and the acquisition temperature as the Y-axis, and plotting points in the plane rectangular coordinate system with the acquisition time-acquisition temperature as data pairs, and connecting all points in sequence with a smooth curve to obtain the acquisition time-acquisition temperature curve.

[0009] Furthermore, the process of collecting the ambient temperature HWh includes: using the temperature sensor carried by the drone to collect the real-time temperature of the drone's flight environment once at the start time and the end time of shooting, and collecting the real-time temperature of the drone's flight environment several times at fixed time intervals during the shooting process, and marking each collected real-time temperature as the ambient temperature HWh.

[0010] Furthermore, the process of correcting the acquisition time-acquisition temperature curve according to the ambient temperature includes: Step 1: Obtain the acquisition time-acquisition temperature curve drawn by the temperature measurement and acquisition module, plot the coordinates (HTh, HWh) in the plane rectangular coordinate system where the acquisition time-acquisition temperature curve is located and record them as the ambient temperature coordinate points; Step 2: Divide the acquisition time-acquisition temperature curve into several sub-curves along the direction perpendicular to the X-axis of the ambient temperature coordinate point, and sum and average the vertical coordinates corresponding to the ambient temperature coordinate points at both ends of each sub-curve to obtain the correction reference value a of each sub-curve; Step 3: Select i data points (Xi, Yi) on each sub-curve, set the correction coefficient k, calculate the difference between the vertical coordinate Yi of each i data point on each sub-curve and the correction reference value a, and then calculate the ratio with the correction coefficient k to obtain the temperature error value. Then, sum the temperature error value with the correction reference value a to obtain the temperature correction value JZi of each i data point on each sub-curve; Step 4: Establish a plane rectangular coordinate system with the acquisition time as the X-axis and the temperature correction value as the Y-axis. Draw points in the plane rectangular coordinate system according to the coordinates (Xi, JZi) of the i data points on each sub-curve, and connect all the points in sequence with a smooth curve to obtain the acquisition time-temperature correction curve.

[0011] Furthermore, the evaluation process of the operating status of the transmission line includes: drawing an upper straight line parallel to the X-axis through a preset high temperature threshold WGmax in the plane rectangular coordinate system where the acquisition time-temperature correction curve is located, and drawing a lower straight line parallel to the X-axis through a preset low temperature threshold WDmin; if there is an intersection between the upper straight line and the acquisition time-temperature correction curve, it is determined that the operating status of the transmission line does not meet the requirements, and the operating status of the transmission line is marked as dangerous, and two points, a dangerous starting point and a dangerous end point, are selected from the intersection points of the upper straight line and the acquisition time-temperature correction curve along the positive direction of the X-axis and are marked as a group of dangerous points; if there is an intersection between the lower straight line and the acquisition time-temperature correction curve, it is determined that the operating status of the transmission line does not meet the requirements, and the operating status of the transmission line is marked as dangerous, and two points, a dangerous starting point and a dangerous end point, are selected from the intersection points of the lower straight line and the acquisition time-temperature correction curve along the positive direction of the X-axis and are marked as a group of dangerous points; if there is no intersection between the upper straight line and the lower straight line and the acquisition time-temperature correction curve, the operating status of the transmission line is marked as pending; When the operating status of the transmission line is dangerous, the dangerous point group will be sent to the inspection management center; when the operating status of the transmission line is pending, an in-depth analysis of the transmission line will be carried out.

[0012] Furthermore, the process of performing in-depth analysis on the transmission line includes: obtaining a preset safety temperature upper limit value p and a safety temperature lower limit value q, drawing straight lines y=p and y=q in a rectangular coordinate system where the acquisition time-temperature correction curve is located according to the safety temperature upper limit value p and the safety temperature lower limit value q, integrating a graph enclosed by the acquisition time-temperature correction curve and the straight line y=p to obtain an area S1, integrating a graph enclosed by the acquisition time-temperature correction curve and the straight line y=q to obtain an area S2, integrating a graph enclosed by the straight lines y=p and y=q together with the acquisition time-temperature correction curve to obtain an area S3, calculating a ratio of a sum of the areas S1 and S2 to the area S3 to obtain an over-limit ratio CX, and comparing the over-limit ratio CX with a preset over-limit ratio threshold CXmax: if the over-limit ratio CX is greater than or equal to the over-limit ratio threshold CXmax, the operating status of the transmission line is marked as abnormal; if the over-limit ratio CX is less than the over-limit ratio threshold CXmax, the operating status of the transmission line is marked as safe.

[0013] Furthermore, the process of maintaining the transmission line according to the operating status of the transmission line includes: When the operating status of the transmission line is dangerous, a group of dangerous points is obtained from the inspection management center. The horizontal coordinates of the dangerous starting point and the dangerous ending point are respectively calculated by subtracting the horizontal coordinates of the dangerous starting point and the dangerous ending point from the coordinate origin of the plane rectangular coordinate system to obtain the dangerous start time Ta and the dangerous end time Tb. The flight speed SD of the drone is obtained. The dangerous start time Ta and the dangerous end time Tb are respectively multiplied by the flight speed SD to obtain the dangerous start distance and the dangerous end distance of the transmission line. The dangerous start distance and the dangerous end distance corresponding to the group of dangerous point groups constitute a group of dangerous transmission line sections of the transmission line, and the dangerous transmission line sections are sent to the inspection management center. When the operating status of the transmission line is abnormal, when using drones to inspect the transmission line, the time interval between two adjacent inspections is shortened, and high-density inspections are performed on the transmission line.

[0014] Furthermore, the process of optimizing the judgment conditions of the transmission line operation status includes: If the operating status of the transmission line is marked as abnormal through in-depth analysis, the transmission line is continuously monitored: the transmission line is inspected several times, and the ratio of the number of inspections in which the operating status of the transmission line is dangerous to the total number of inspections is calculated to obtain the danger rate M; the danger rate M is compared with the preset misjudgment threshold WPmin: if the danger rate M is less than the misjudgment threshold WPmin, it is determined that the currently set safety temperature upper limit p and safety temperature lower limit q have a risk of misjudging the operating status of the transmission line, and the safety temperature upper limit p and / or safety temperature lower limit q need to be adjusted; If the operating status of the transmission line is marked as normal through in-depth analysis, the transmission line will be continuously monitored: several inspections will be carried out on the transmission line, and the hazard occurrence rate M in the inspection results will be compared with the preset missed judgment threshold LPmax: if the hazard occurrence rate M is greater than the missed judgment threshold LPmax, it is determined that the currently set safety temperature upper limit value p and safety temperature lower limit value q have a risk of missed judgment of the operating status of the transmission line, and the safety temperature upper limit value p and / or safety temperature lower limit value q need to be adjusted.

[0015] Furthermore, the specific process of adjusting the safety temperature upper limit value p and / or the safety temperature lower limit value q includes: obtaining a preset adjustment proportional coefficient t1; If there is a risk of misjudging the operating status of the transmission line, the safety temperature upper limit value p is calculated by ratioing the adjustment proportional coefficient t1 to obtain a new safety temperature upper limit value p and the safety temperature upper limit value p in the temperature analysis module is replaced, and / or the safety temperature lower limit value q is multiplied by the adjustment proportional coefficient t1 to obtain a new safety temperature lower limit value q and the safety temperature lower limit value q in the temperature analysis module is replaced; If there is a risk of missing the operating status of the transmission line, the safety temperature upper limit value p is multiplied by the adjustment proportional coefficient t1 to obtain a new safety temperature upper limit value p and the safety temperature upper limit value p in the temperature analysis module is replaced, and / or the safety temperature lower limit value q is ratio-calculated by the adjustment proportional coefficient t1 to obtain a new safety temperature lower limit value q and the safety temperature lower limit value q in the temperature analysis module is replaced.

[0016] The present invention has the following beneficial effects: 1. Use drones equipped with infrared thermometers to collect data, and transmit the collected video and other data to the inspection management center in real time through the integrated 5G communication module, ensuring that the data can be delivered to the analysis and processing end in a timely manner, providing strong support for rapid decision-making; 2. The temperature correction module fully considers the impact of ambient temperature on transmission line temperature measurement. While collecting the transmission line temperature, it also collects the real-time temperature of the drone's flight environment, effectively eliminating the interference of environmental factors on transmission line temperature measurement and laying the foundation for accurate assessment of the transmission line operation status. 3. The temperature analysis module analyzes the temperature of the transmission line to determine whether the transmission line is in a dangerous state. By setting upper and lower safety temperature limits, an in-depth analysis is performed on the transmission line whose operating status is pending, and further judgment is made on whether the transmission line operating status is abnormal or safe. This achieves a comprehensive and accurate assessment of the transmission line operating status, can effectively identify potential risk transmission lines, and avoid missing problems due to simple judgments; 4. Through the inspection optimization module, the transmission lines with abnormal or safe operating status are continuously monitored. According to the comparison results of the danger occurrence rate and the preset false judgment threshold and missed judgment threshold, the upper and lower limits of the safe temperature are dynamically adjusted. This adjustment mechanism enables the inspection system to continuously adapt to the complex environment of the transmission line, realize the dynamic adjustment of the inspection strategy according to the actual operation of the transmission line, improve the accuracy of the judgment of the transmission line operation status, avoid the occurrence of false judgment and missed judgment, thereby optimizing the entire inspection process and improving the intelligence level of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A system block diagram of the present invention as a whole; Figure 2 Schematic diagram of the acquisition time-temperature calibration curve in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, the 5G network-based transmission line inspection system provided by the embodiment of the present invention includes an inspection management center, which is communicatively connected to a temperature measurement and acquisition module, a temperature correction module, a temperature analysis module, an inspection maintenance module, and an inspection optimization module; The temperature measurement and acquisition module is used to collect the temperature of the transmission line: a drone equipped with an infrared thermometer is used to photograph the transmission line. The drone flies parallel to the transmission line at a fixed speed and a fixed distance from the transmission line. The infrared thermometer takes photos at a perpendicular angle to the transmission line. The video footage captured by the infrared thermometer is extracted every three frames to obtain several frames of captured images. The transmission lines in the captured images are identified, located, and segmented to obtain several frames of infrared images of the transmission lines. The timestamp of each infrared image frame is obtained and marked as the acquisition time. The infrared radiation values corresponding to the leftmost 10 pixels in each infrared image frame are converted into temperature values and summed and averaged to obtain the acquired temperature. A plane rectangular coordinate system is established with the acquisition time as the X-axis and the acquisition temperature as the Y-axis. Points are plotted in the plane rectangular coordinate system using the acquisition time-acquisition temperature as data pairs. All points are connected in sequence with a smooth curve to obtain an acquisition time-acquisition temperature curve. The video footage captured by the infrared thermometer is transmitted back to the inspection management center in real time via the drone’s integrated 5G communication module; An infrared thermometer is mounted on a drone for data collection, and the collected video and other data are transmitted back to the inspection management center in real time through the integrated 5G communication module, ensuring that the data can be delivered to the analysis and processing end in a timely manner, providing strong support for rapid decision-making; at the same time, the infrared radiation values of several pixels on the far left of the infrared image (10 pixels are used as an example in the above embodiment) are converted into the temperature value of a certain point on the transmission line, and the infrared image is extracted at a certain frame interval to ensure full coverage of the transmission line when collecting temperature; regarding the method of identifying, locating, and segmenting the transmission line in the captured image to obtain several frames of infrared images of the transmission line, reference can be made to the existing image target recognition and positioning method, which is not elaborated in detail in the embodiments of the present invention.

[0021] It should be noted that in order to reduce the impact of electromagnetic interference generated by 5G base stations on the control signals of drones, the following two measures can be adopted: (1) Communication frequency band isolation: set the drone control signal to use a dedicated frequency band different from the 5G data transmission channel, such as 5.8GHz, to avoid overlapping with the 5G communication frequency band; (2) Interference resistance enhancement design: use frequency hopping spread spectrum communication technology with anti-interference function for drone control signals, and equip high-gain antennas to improve signal reception strength, thereby enhancing the control stability of drones in complex electromagnetic environments. Through the above measures, the risk of interference from 5G base stations to drone control signals can be effectively reduced, ensuring the flight safety and data collection reliability of drones during power transmission line inspections.

[0022] The temperature correction module is used to correct the acquisition time-acquisition temperature curve according to the ambient temperature: while the infrared thermometer is photographing the transmission line, the temperature sensor carried by the drone is used to collect the ambient temperature. Specifically, the real-time temperature of the drone's flight environment is collected once at the start and end of the shooting, and the real-time temperature of the drone's flight environment is collected several times at fixed time intervals during the shooting process. Each collected real-time temperature is marked as the ambient temperature HWh, where h is a positive integer representing the number of collected real-time temperatures, and the acquisition time HTh corresponding to each ambient temperature HWh is recorded; each ambient temperature HWh and its corresponding acquisition time HTh are transmitted back to the inspection management center in real time through the 5G communication module integrated in the drone; the acquisition time-acquisition temperature curve is corrected according to the ambient temperature HWh, and the acquisition time-temperature correction curve is determined.

[0023] Specifically, the method for correcting the acquisition time-acquisition temperature curve is: Step 1: Obtain the acquisition time-acquisition temperature curve drawn in the temperature measurement and acquisition module, plot the coordinates (HTh, HWh) in the plane rectangular coordinate system where the acquisition time-acquisition temperature curve is located and record them as the ambient temperature coordinate points; Step 2: Divide the acquisition time-acquisition temperature curve into several sub-curves along the direction perpendicular to the X-axis of the ambient temperature coordinate point, and sum and average the vertical coordinates corresponding to the ambient temperature coordinate points at both ends of each sub-curve to obtain the correction reference value a of each sub-curve; Step 3: Select i data points (Xi, Yi) on each sub-curve, where i is a positive integer, and the difference between the horizontal coordinates of any two adjacent data points is a constant value. The values of i on each sub-curve can be the same or different; set the correction proportional coefficient k, the value range of k is (0.85, 1], and the specific value is set by the management personnel based on experience; calculate the difference between the vertical coordinate Yi of the i data point on each sub-curve and the correction reference value a, and then calculate the ratio with the correction proportional coefficient k to obtain the temperature error value, and then sum the temperature error value with the correction reference value a to obtain the temperature correction value JZi of the i data point on each sub-curve, that is, JZi = (Yi-a) / k+a; It should be noted here that when the absolute value of the difference between Yi and a is less than or equal to the preset correction judgment threshold, k is set to 1.0, and the temperature value is not corrected. The specific value of the correction judgment threshold can be set as needed, for example, to 1; when the absolute value of the difference between Yi and a is greater than the preset correction judgment threshold, Yi is compared with a: If Yi is greater than a, it means that the collected temperature Yi determined by the infrared thermometer is affected by the lower ambient temperature. If the ambient temperature is lower than the collected temperature, the collected temperature will be lower than the actual temperature. After correction, the temperature correction value JZi should be higher than Yi. Therefore, this embodiment of the present invention sets JZi = (Yi-a) / k+a to make the temperature correction value JZi greater than Yi, thereby being closer to the actual temperature. If Yi is less than a, it means that the collected temperature Yi determined by the infrared thermometer is affected by the higher ambient temperature. If the ambient temperature is higher than the collected temperature, the collected temperature will be higher than the actual temperature. After correction, the temperature correction value JZi should be lower than Yi. Therefore, this embodiment of the present invention sets JZi = (Yi-a) / k+a to make the temperature correction value JZi less than Yi, thereby being closer to the actual temperature. For example, when Yi is 35°C and a is 33°C, it means that Yi is affected by the lower ambient temperature and is lower. The correction should make the correction temperature value JZi higher than Yi. In this case, set K to 0.9. After the correction method above, JZi becomes higher to 35.22°C, overcoming the influence of the lower ambient temperature. For example, when Yi is 20°C and a is 22°C, it means that Yi is affected by the higher ambient temperature and is higher. The correction should make the correction temperature value JZi lower than Yi. In this case, K is set to 0.9. After the correction method above, JZi becomes lower to 19.78, overcoming the influence of the higher ambient temperature. Of course, the above examples are only used to illustrate the principles of the embodiments of the present invention and do not constitute a limitation of the embodiments of the present invention; More specifically, the physical meaning of JZi = (Yi - a) / k + a can be understood as proportionally correcting the temperature deviation between the collected temperature and the ambient temperature, returning the corrected value to a reference value based on the ambient temperature. When the temperature deviation between the collected temperature and the ambient temperature is large, such as in extreme environments where the ambient temperature may be as high as 40°C or below -10°C, the impact of the ambient temperature on the collected temperature is more pronounced. In these cases, the difference between Yi and a is relatively large, and this correction formula can significantly correct the collected temperature. Of course, this temperature correction mechanism is still effective in non-extreme environments, especially when there is spatial inhomogeneity or localized disturbances in the ambient temperature along the drone's flight path. It can significantly reduce jumps and offsets in the collected time-collected temperature curve, improving the robustness of transmission line operational status judgment. Furthermore, by setting a correction judgment threshold, the present invention does not correct small differences (|Yi - a| ≤ 1°C), thus avoiding error amplification caused by overcorrection. This prevents meaningless processing in scenarios where the temperature difference is not significant, ensuring both system efficiency and rationality. Step 4: Establish a plane rectangular coordinate system with the acquisition time as the X-axis and the temperature correction value as the Y-axis. Draw points in the plane rectangular coordinate system according to the coordinates (Xi, JZi) of the i data points on each sub-curve, and connect all the points in sequence with a smooth curve to obtain the acquisition time-temperature correction curve.

[0024] In summary, since infrared thermometers' temperature readings are easily affected by background temperature, particularly air temperature, the present invention simultaneously acquires ambient temperature based on the infrared thermometer's temperature readings and corrects the acquired temperature based on the ambient temperature. This provides a practical basis for accurate measurement. This correction mechanism resolves the issue of temperature deviation caused by ambient temperature shifts, improving accuracy.

[0025] The acquisition time-acquisition temperature curve is corrected through the temperature correction module, fully considering the impact of ambient temperature on the temperature measurement of the transmission line. While collecting the temperature of the transmission line, the real-time temperature of the drone's flight environment is also collected synchronously, effectively eliminating the interference of environmental factors on the temperature measurement of the transmission line, and laying the foundation for the accurate assessment of the operating status of the transmission line.

[0026] The temperature analysis module is used to analyze the acquisition time-temperature correction curve and evaluate the operating status of the transmission line, which can be dangerous, abnormal, or safe. The specific method is: obtain the acquisition time-temperature correction curve, draw an upper straight line parallel to the X-axis through the preset high temperature threshold WGmax in the plane rectangular coordinate system where the acquisition time-temperature correction curve is located, and draw a lower straight line parallel to the X-axis through the preset low temperature threshold WDmin; If there is an intersection between the upper straight line and the acquisition time-temperature correction curve, it is judged that the operating state of the transmission line does not meet the requirements, and the operating state of the transmission line is marked as dangerous. The dangerous starting point and the dangerous end point (the first intersection point and the last intersection point among all the intersection points of the upper straight line and the acquisition time-temperature correction curve) are selected from the intersection of the upper straight line and the acquisition time-temperature correction curve along the positive direction of the X-axis and are marked as a dangerous point group; similarly, if there is an intersection between the lower straight line and the acquisition time-temperature correction curve, it is judged that the operating state of the transmission line does not meet the requirements, and the operating state of the transmission line is marked as dangerous. The dangerous starting point and the dangerous end point are selected from the intersection points of the lower straight line and the acquisition time-temperature correction curve along the positive direction of the X-axis and are marked as a dangerous point group; if there is no intersection between the upper straight line and the lower straight line and the acquisition time-temperature correction curve, the operating state of the transmission line is marked as pending; If the operating status of the transmission line is dangerous, the dangerous point group will be sent to the inspection management center; if the operating status of the transmission line is pending, an in-depth analysis of the transmission line will be carried out.

[0027] The process of in-depth analysis of transmission lines includes: Figure 2 As shown, a preset safety temperature upper limit value p and a safety temperature lower limit value q are obtained. According to the safety temperature upper limit value p and the safety temperature lower limit value q, straight lines y=p and y=q are drawn in the rectangular coordinate system of the plane where the acquisition time-temperature correction curve is located. The graph enclosed by the acquisition time-temperature correction curve and the straight line y=p is integrated to obtain an area S1. The graph enclosed by the acquisition time-temperature correction curve and the straight line y=q is integrated to obtain an area S2. The graph enclosed by the straight lines y=p and y=q and the acquisition time-temperature correction curve is integrated to obtain an area S3. The sum of the areas S1 and S2 is calculated and the ratio is calculated with the area S3 to obtain an over-limit ratio CX. The over-limit ratio CX is compared with a preset over-limit ratio threshold CXmax. If the over-limit ratio CX is greater than or equal to the over-limit ratio threshold CXmax, the operating status of the transmission line is marked as abnormal. If the over-limit ratio CX is less than the over-limit ratio threshold CXmax, the operating status of the transmission line is marked as safe.

[0028] The temperature analysis module is used to analyze the temperature of the transmission line to determine whether the transmission line is in a dangerous state. By setting the upper and lower limits of the safe temperature, an in-depth analysis is performed on the operating status of the transmission line when it is in a pending state, and further judgment is made on whether the operating status of the transmission line is abnormal or safe. This achieves a comprehensive and accurate assessment of the operating status of the transmission line, can effectively identify the potential risks of the transmission line, and avoid missing problems due to simple judgments.

[0029] The inspection and maintenance module is used to maintain the transmission line according to the operating status of the transmission line: if the operating status of the transmission line is dangerous, a dangerous point group is obtained from the inspection management center, and the horizontal coordinates of the dangerous starting point and the dangerous end point are respectively calculated by difference with the coordinate origin of the plane rectangular coordinate system to obtain the dangerous start time Ta and the dangerous end time Tb, and the flight speed SD of the drone is obtained. The dangerous start time Ta and the dangerous end time Tb are respectively multiplied by the flight speed SD to obtain the dangerous start distance and the dangerous end distance of the transmission line, and the dangerous start distance and the dangerous end distance corresponding to a group of dangerous point groups constitute a group of dangerous transmission line sections of the transmission line, and the dangerous transmission line sections are sent to the inspection management center, and the management personnel take corresponding measures to maintain the dangerous transmission line sections; If the operating status of the transmission line is abnormal, the time interval between two adjacent inspections will be shortened when the UAV is used to inspect the transmission line in the future, thereby performing high-density inspections on the transmission line.

[0030] The inspection optimization module is used to optimize the judgment conditions of the transmission line operation status during the deep analysis process: if the operation status of the transmission line is marked as abnormal through deep analysis, the transmission line is continuously monitored: the transmission line is inspected several times, and the ratio of the number of inspections in which the operation status of the transmission line is dangerous in the inspection results to the total number of inspections is calculated to obtain the danger occurrence rate M; the danger occurrence rate M is compared with the preset misjudgment threshold WPmin: if the danger occurrence rate M is less than the misjudgment threshold WPmin, it is judged that the currently set safety temperature upper limit value p and safety temperature lower limit value q have the risk of misjudging the operation status of the transmission line, and the safety temperature upper limit value p and / or safety temperature lower limit value q need to be adjusted; If the operating status of the transmission line is marked as normal through in-depth analysis, the transmission line will be continuously monitored: several inspections will be carried out on the transmission line, and the hazard rate M in the inspection results will be compared with the preset missed judgment threshold LPmax. If the hazard rate M is greater than the missed judgment threshold LPmax, it will be determined that the currently set safety temperature upper limit p and safety temperature lower limit q have a risk of missed judgment of the operating status of the transmission line, and the safety temperature upper limit p and / or safety temperature lower limit q need to be adjusted. The specific process of adjusting the safety temperature upper limit value p and / or the safety temperature lower limit value q includes: obtaining a preset adjustment proportional coefficient t1, where the value range of t1 is (0.80, 1.00), and the specific value is set by the management personnel based on experience; If there is a risk of misjudging the operating status of the transmission line, the safety temperature upper limit value p is calculated by ratioing the adjustment proportional coefficient t1 to obtain a new safety temperature upper limit value p and the safety temperature upper limit value p in the temperature analysis module is replaced, and / or the safety temperature lower limit value q is multiplied by the adjustment proportional coefficient t1 to obtain a new safety temperature lower limit value q and the safety temperature lower limit value q in the temperature analysis module is replaced; If there is a risk of missing the operating status of the transmission line, the safety temperature upper limit value p is multiplied by the adjustment proportional coefficient t1 to obtain a new safety temperature upper limit value p and the safety temperature upper limit value p in the temperature analysis module is replaced, and / or the safety temperature lower limit value q is ratio-calculated by the adjustment proportional coefficient t1 to obtain a new safety temperature lower limit value q and the safety temperature lower limit value q in the temperature analysis module is replaced.

[0031] In the embodiment of the present invention, when the operating status of the transmission line is abnormal or safe, the inspection optimization module continuously monitors the transmission line, and dynamically adjusts the upper and lower safety temperature limits based on the comparison results of the danger occurrence rate with the preset false judgment threshold and missed judgment threshold. This adjustment mechanism enables the inspection system to continuously adapt to the complex environment of the transmission line, improve the accuracy of the judgment of the operating status of the transmission line, avoid the occurrence of false judgment and missed judgment, thereby optimizing the entire inspection process and improving the intelligence level of the system.

[0032] In summary, when the 5G network-based transmission line inspection system is working, a drone-mounted infrared thermometer is used to photograph the transmission line and draw a collection time-collection temperature curve; when the infrared thermometer is photographing the transmission line, the temperature sensor carried by the drone is used to collect the ambient temperature of the drone's flight environment, record the collection time, and correct the collection time-collection temperature curve according to the ambient temperature; by analyzing the corrected collection time-temperature correction curve, the operating status of the transmission line is evaluated as dangerous, abnormal or safe; when the operating status of the transmission line is dangerous or abnormal, the transmission line is maintained; when the operating status of the transmission line is abnormal or safe, the transmission line is continuously monitored and the judgment conditions of the operating status are optimized.

[0033] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. The power transmission line inspection system based on 5G network is characterized by: It includes an inspection management center, which is communicatively connected to a temperature measurement and acquisition module, a temperature correction module, a temperature analysis module, an inspection maintenance module, and an inspection optimization module; The temperature measurement and acquisition module is used to collect the temperature of the transmission line: a drone equipped with an infrared thermometer is used to photograph the transmission line, and a collection time-collection temperature curve is drawn based on the photographing results; The temperature correction module is used to correct the acquisition time-acquisition temperature curve according to the ambient temperature: when the infrared thermometer is photographing the transmission line, the temperature sensor carried by the drone is used to collect the ambient temperature HWh, where h is a positive integer representing the number of collected ambient temperatures, and the acquisition time HTh corresponding to each ambient temperature HWh is recorded; the acquisition time-acquisition temperature curve is corrected according to the ambient temperature HWh, and the acquisition time-temperature correction curve is determined; The temperature analysis module is used to evaluate the operating status of the transmission line as dangerous, abnormal or safe based on the acquisition time-temperature correction curve; The inspection and maintenance module is used to maintain the transmission line according to the operating status of the transmission line: when the operating status of the transmission line is dangerous, obtain the dangerous transmission line section of the transmission line and send the dangerous transmission line section to the inspection management center; When the operating status of the transmission line is abnormal, high-density inspection of the transmission line is carried out; The inspection optimization module is used to optimize the judgment conditions of the operation status of the transmission line: when the operation status of the transmission line is abnormal or safe, the transmission line is continuously monitored and the judgment conditions of the operation status are optimized.

2. The 5G network-based power transmission line inspection system according to claim 1, characterized in that: The drone flies parallel to the transmission line at a fixed speed, and the distance between the drone and the transmission line is fixed. The infrared thermometer takes pictures at a shooting angle perpendicular to the transmission line.

3. The 5G network-based power transmission line inspection system according to claim 1, characterized in that: The process of drawing the acquisition time-acquisition temperature curve includes: extracting every three frames of the video captured by the infrared thermometer to obtain several frames of captured images, identifying, locating, and segmenting the transmission lines in the captured images to obtain several frames of infrared images of the transmission lines; obtaining the timestamp of each frame of the infrared image and marking it as the acquisition time, converting the infrared radiation values corresponding to the leftmost 10 pixels in each frame of the infrared image into temperature values and summing and averaging them to obtain the acquisition temperature; establishing a plane rectangular coordinate system with the acquisition time as the X-axis and the acquisition temperature as the Y-axis, and plotting points in the plane rectangular coordinate system with the acquisition time-acquisition temperature as data pairs, and connecting all points in sequence with a smooth curve to obtain the acquisition time-acquisition temperature curve.

4. The 5G network-based power transmission line inspection system according to claim 1, characterized in that: The process of collecting the ambient temperature HWh includes: using the temperature sensor carried by the drone to collect the real-time temperature of the drone's flight environment once at the start and end of shooting, and collecting the real-time temperature of the drone's flight environment several times at fixed time intervals during the shooting process, and marking each collected real-time temperature as the ambient temperature HWh.

5. The 5G network-based power transmission line inspection system according to claim 1, characterized in that: The process of correcting the acquisition time-acquisition temperature curve according to the ambient temperature includes: Step 1: Obtain the acquisition time-acquisition temperature curve drawn by the temperature measurement and acquisition module, plot the coordinates (HTh, HWh) in the plane rectangular coordinate system where the acquisition time-acquisition temperature curve is located and record them as the ambient temperature coordinate points; Step 2: Divide the acquisition time-acquisition temperature curve into several sub-curves along the direction perpendicular to the X-axis of the ambient temperature coordinate point, and sum and average the vertical coordinates corresponding to the ambient temperature coordinate points at both ends of each sub-curve to obtain the correction reference value a of each sub-curve; Step 3: Select i data points (Xi, Yi) on each sub-curve, set the correction coefficient k, calculate the difference between the vertical coordinate Yi of each i data point on each sub-curve and the correction reference value a, and then calculate the ratio with the correction coefficient k to obtain the temperature error value. Then, sum the temperature error value with the correction reference value a to obtain the temperature correction value JZi of each i data point on each sub-curve; Step 4: Establish a plane rectangular coordinate system with the acquisition time as the X-axis and the temperature correction value as the Y-axis. Draw points in the plane rectangular coordinate system according to the coordinates (Xi, JZi) of the i data points on each sub-curve, and connect all the points in sequence with a smooth curve to obtain the acquisition time-temperature correction curve.

6. The 5G network-based power transmission line inspection system according to claim 1, characterized in that: The evaluation process of the operating status of the transmission line includes: drawing an upper straight line parallel to the X-axis through a preset high temperature threshold WGmax in the plane rectangular coordinate system where the acquisition time-temperature correction curve is located, and drawing a lower straight line parallel to the X-axis through a preset low temperature threshold WDmin; if there is an intersection between the upper straight line and the acquisition time-temperature correction curve, it is determined that the operating status of the transmission line does not meet the requirements, and the operating status of the transmission line is marked as dangerous, and two points, a dangerous starting point and a dangerous end point, are selected from the intersection points of the upper straight line and the acquisition time-temperature correction curve along the positive direction of the X-axis and marked as a group of dangerous points; if there is an intersection between the lower straight line and the acquisition time-temperature correction curve, it is determined that the operating status of the transmission line does not meet the requirements, and the operating status of the transmission line is marked as dangerous, and two points, a dangerous starting point and a dangerous end point, are selected from the intersection points of the lower straight line and the acquisition time-temperature correction curve along the positive direction of the X-axis and marked as a group of dangerous points; if there is no intersection between the upper straight line and the lower straight line and the acquisition time-temperature correction curve, the operating status of the transmission line is marked as pending; When the operating status of the transmission line is dangerous, the dangerous point group will be sent to the inspection management center; when the operating status of the transmission line is pending, an in-depth analysis of the transmission line will be carried out.

7. The 5G network-based power transmission line inspection system according to claim 6, characterized in that: The process of performing in-depth analysis on the transmission line includes: obtaining a preset safety temperature upper limit value p and a safety temperature lower limit value q, drawing straight lines y=p and y=q in a rectangular coordinate system where the acquisition time-temperature correction curve is located based on the safety temperature upper limit value p and the safety temperature lower limit value q, integrating the graph enclosed by the acquisition time-temperature correction curve and the straight line y=p to obtain an area S1, integrating the graph enclosed by the acquisition time-temperature correction curve and the straight line y=q to obtain an area S2, integrating the graph enclosed by the straight lines y=p and y=q together with the acquisition time-temperature correction curve to obtain an area S3, calculating the ratio of the sum of the areas S1 and S2 to the area S3 to obtain an over-limit ratio CX, and comparing the over-limit ratio CX with a preset over-limit ratio threshold CXmax: if the over-limit ratio CX is greater than or equal to the over-limit ratio threshold CXmax, the operating status of the transmission line is marked as abnormal; if the over-limit ratio CX is less than the over-limit ratio threshold CXmax, the operating status of the transmission line is marked as safe.

8. The 5G network-based power transmission line inspection system according to claim 7, characterized in that: The process of maintaining a transmission line according to its operating status includes: When the operating status of the transmission line is dangerous, a group of dangerous points is obtained from the inspection management center. The horizontal coordinates of the dangerous starting point and the dangerous ending point are respectively calculated by subtracting the horizontal coordinates of the dangerous starting point and the dangerous ending point from the coordinate origin of the plane rectangular coordinate system to obtain the dangerous start time Ta and the dangerous end time Tb. The flight speed SD of the drone is obtained. The dangerous start time Ta and the dangerous end time Tb are respectively multiplied by the flight speed SD to obtain the dangerous start distance and the dangerous end distance of the transmission line. The dangerous start distance and the dangerous end distance corresponding to the group of dangerous point groups constitute a group of dangerous transmission line sections of the transmission line, and the dangerous transmission line sections are sent to the inspection management center. When the operating status of the transmission line is abnormal, when using drones to inspect the transmission line, the time interval between two adjacent inspections is shortened, and high-density inspections are performed on the transmission line.

9. The 5G network-based power transmission line inspection system according to claim 8, characterized in that: The process of optimizing the judgment conditions of the transmission line operation status includes: If the operating status of the transmission line is marked as abnormal through in-depth analysis, the transmission line is continuously monitored: the transmission line is inspected several times, and the ratio of the number of inspections in which the operating status of the transmission line is dangerous to the total number of inspections is calculated to obtain the danger rate M; the danger rate M is compared with the preset misjudgment threshold WPmin: if the danger rate M is less than the misjudgment threshold WPmin, it is determined that the currently set safety temperature upper limit p and safety temperature lower limit q have a risk of misjudging the operating status of the transmission line, and the safety temperature upper limit p and / or safety temperature lower limit q need to be adjusted; If the operating status of the transmission line is marked as normal through in-depth analysis, the transmission line will be continuously monitored: several inspections will be carried out on the transmission line, and the hazard occurrence rate M in the inspection results will be compared with the preset missed judgment threshold LPmax: if the hazard occurrence rate M is greater than the missed judgment threshold LPmax, it is determined that the currently set safety temperature upper limit value p and safety temperature lower limit value q have a risk of missed judgment of the operating status of the transmission line, and the safety temperature upper limit value p and / or safety temperature lower limit value q need to be adjusted.

10. The 5G network-based power transmission line inspection system according to claim 9, characterized in that: The specific process of adjusting the safety temperature upper limit value p and / or the safety temperature lower limit value q includes: obtaining a preset adjustment proportional coefficient t1; If there is a risk of misjudging the operating status of the transmission line, the safety temperature upper limit value p is calculated by ratioing the adjustment proportional coefficient t1 to obtain a new safety temperature upper limit value p and the safety temperature upper limit value p in the temperature analysis module is replaced, and / or the safety temperature lower limit value q is multiplied by the adjustment proportional coefficient t1 to obtain a new safety temperature lower limit value q and the safety temperature lower limit value q in the temperature analysis module is replaced; If there is a risk of missing the operating status of the transmission line, the safety temperature upper limit value p is multiplied by the adjustment proportional coefficient t1 to obtain a new safety temperature upper limit value p and the safety temperature upper limit value p in the temperature analysis module is replaced, and / or the safety temperature lower limit value q is ratio-calculated by the adjustment proportional coefficient t1 to obtain a new safety temperature lower limit value q and the safety temperature lower limit value q in the temperature analysis module is replaced.

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