Electric power iron tower monitoring equipment and monitoring method thereof

Abstract

The invention discloses electric power iron tower monitoring equipment and a monitoring method thereof, and relates to the field of electric power iron tower monitoring, and the method comprises the steps: obtaining an environment evaluation label of a region where each electric power iron tower is located; obtaining a monitoring alarm value based on the environment evaluation label; setting the image quality resolution of the real-time monitoring video of each electric power tower, segmenting the real-time monitoring video of each electric power tower into monitoring real-time continuous images, and analyzing and processing to obtain monitoring real-time abnormal values of each electric power tower; according to the electric power iron tower monitoring method provided by the invention, the environmental factors of the region where the electric power iron tower is located are comprehensively considered, the environmental severe degree of the region where the electric power iron tower is located is comprehensively reflected, and a targeted monitoring scheme is adopted; and meanwhile, the real-time monitoring image abnormal condition of the electric power iron tower and the real-time transmission abnormal condition of the monitoring equipment are analyzed and processed, so that the real-time abnormity occurring in the monitoring of the electric power iron tower is comprehensively reflected.

Description

Technical Field

[0001] The invention relates to the field of power tower monitoring, and in particular to power tower monitoring equipment and a monitoring method thereof. Background Art

[0002] Power towers are an important part of transmission lines and bear the important responsibility of transmitting electricity. Power towers are often affected by factors such as natural disasters and equipment aging, which lead to line failures. The monitoring system can detect these problems in time and take measures to prevent accidents.

[0003] The prior art, such as the invention patent with announcement number: CN104537788B, is an intelligent image early warning system and method for preventing external damage of high-voltage transmission lines. The system includes a front-end monitoring device, a back-end server and a user-end mobile monitoring terminal. The front-end monitoring device is installed on a high-voltage line tower to monitor the monitored area. After detecting a dangerous operation target, it sends a site picture to the server and sends an alarm text message and a link to the site picture on the server to the mobile monitoring terminal of the corresponding power patrol personnel; the back-end server receives the image information, and performs image storage and management, log management, and line patrol personnel login information management; the user-end mobile monitoring terminal is a mobile phone, which receives the picture information and text message alarm information on the server, and sends a control command to the front-end monitoring device for voice warning.

[0004] Prior art, such as the invention patent with announcement number: CN102496232B, is a method and system for monitoring power transmission facilities, the method comprising: performing three-dimensional visual modeling of the monitoring area, and modeling common intruders to obtain an intruder model, real-time acquisition of image information in the monitoring area, and detecting whether there are intruders, when an intruder is detected, extracting characteristic information of the intruder, comparing the extracted characteristic information of the intruder with the characteristic information of the intruder in the modeling to determine the type of the intruder, calculating the horizontal distance between the intruder and the target tower and the volume parameters of the intruder, and determining the threat level of the intruder according to the type of the intruder, the horizontal distance between the intruder and the target tower and the volume parameters of the intruder.

[0005] Based on the above scheme, it can be seen that the existing technology often only monitors the power transmission facilities themselves or intruders, but in actual applications, the monitoring equipment on the power transmission facilities may be affected by bad weather, resulting in reduced image recognition accuracy, thereby affecting the warning effect. In addition, the transmission performance of the monitoring equipment for monitoring is also crucial to the effect of the warning. Therefore, only monitoring the transmission facilities themselves cannot guarantee the comprehensiveness of monitoring the risk of failure or damage to the transmission facilities. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a power tower monitoring device and a monitoring method thereof. To achieve the above objectives, the present invention is implemented through the following technical solutions: A power tower monitoring device and a monitoring method thereof, comprising: Collect the historical environmental parameter sets of the areas where the power towers are located, process and analyze to obtain the environmental severity assessment values ​​of the areas where the power towers are located, and obtain the environmental assessment labels of the areas where the power towers are located based on the environmental severity assessment values ​​of the areas where the power towers are located; Based on the environmental assessment label of the area where each power tower is located, a monitoring warning value of each power tower is obtained, and the monitoring warning value of each power tower is used to adjust the frame number segmentation accuracy of the real-time monitoring video of each power tower; Based on the monitoring alert value of each power tower, the image quality resolution of the real-time monitoring video of each power tower is set, and the real-time monitoring video of each power tower is segmented and processed into a monitoring real-time continuous image according to the adjusted frame number segmentation accuracy, the monitoring real-time continuous image of each power tower is statistically identified and the real-time monitoring data transmission parameter set of each power tower is captured, and the real-time monitoring abnormal value of each power tower is obtained by analysis and processing; Based on the real-time abnormal values ​​monitored by each power tower, the real-time monitoring results of each power tower are obtained through analysis and processing, and feedback processing is performed based on the real-time monitoring results of each power tower.

[0007] As a preferred technical solution, the historical environmental parameter set of the area where each power tower is located is collected, and the environmental severity assessment value of the area where each power tower is located is obtained by processing and analyzing. The specific process is: The historical environmental parameter set of the area where each power tower is located includes the historical number of thunderstorm days, the historical average daily precipitation, the historical average daily temperature difference and the historical average daily humidity, thereby obtaining the environmental severity assessment value of the area where each power tower is located through processing and analysis.

[0008] As a preferred technical solution, the environmental assessment label of the area where each power tower is located is obtained by: Based on the environmental severity assessment value of the area where each power tower is located, it is compared with the environmental severity assessment value threshold stored in the database. If the environmental severity assessment value of the area where a power tower is located is less than or equal to the environmental severity assessment value threshold, the environmental assessment label of the area where the power tower is located is defined as a normal environment.

[0009] If the environmental severity assessment value of the area where a certain power tower is located is greater than the environmental severity assessment value threshold, the environmental severity assessment value of the area where the power tower is located is subtracted from the environmental severity assessment value threshold stored in the database to obtain the environmental severity verification value of the area where the power tower is located, and the environmental impact label corresponding to each environmental severity verification value interval is mapped and matched to obtain the environmental impact label of the area where the power tower is located, and the environmental impact label of the area where the power tower is located is defined as an environmental assessment label, and the environmental impact label of the area where the power tower is located is an extreme environment or a harsh environment.

[0010] The environmental assessment labels of the areas where each power tower is located are obtained through statistics.

[0011] As a preferred technical solution, the monitoring warning value of each power tower is obtained based on the environmental assessment label of the area where each power tower is located, specifically including: Based on the environmental assessment label of each power tower, the environmental interference factor corresponding to each environmental assessment label stored in the database is matched to obtain the environmental interference factor of each power tower.

[0012] An operation and maintenance data set of each power tower is obtained, wherein the operation and maintenance data set of each power tower includes the number of inspections of each power tower, the accumulated operation time of each power tower and a single maintenance cycle of each power tower.

[0013] Based on the environmental interference factors of each power tower and the operation and maintenance data set of each power tower, the monitoring warning value of each power tower is obtained through analysis and processing.

[0014] The monitoring alert value of each power tower is used to adjust the frame segmentation accuracy of the real-time monitoring video of each power tower.

[0015] As a preferred technical solution, the image quality resolution of the real-time monitoring video of each power tower is set based on the monitoring alert value of each power tower, and the real-time monitoring video of each power tower is segmented and processed into a real-time continuous monitoring image according to the adjusted frame segmentation accuracy, specifically including: Based on the monitoring alert value of the power tower, the image quality resolution of each real-time monitoring video corresponding to each monitoring alert value interval stored in the database is matched to obtain the image quality resolution of the real-time monitoring video of each power tower.

[0016] Based on the monitoring alert value of each power tower, the frame segmentation accuracy corresponding to each monitoring alert value interval stored in the database is matched to obtain the frame segmentation accuracy of each power tower, and the real-time monitoring video of each power tower is segmented and processed into real-time continuous images of each frame monitoring.

[0017] As a preferred technical solution, the statistical identification of the real-time continuous monitoring images of each power tower specifically includes: Identify each frame of real-time continuous monitoring images of each power tower, analyze and process to obtain the vertical height from the highest point of the power tower to the horizontal ground in each frame of real-time continuous monitoring images, and record it as the vertical height of the power tower in each frame of real-time continuous monitoring images of each power tower. At the same time, extract the minimum angle between the line connecting the highest point of the power tower and the center point of the surface of the four-corner support base of the power tower and the plane of the four-corner support base of the power tower, and record it as the minimum inclination angle of the power tower in each frame of real-time continuous monitoring images of each power tower.

[0018] According to the real-time continuous monitoring images of each frame of each power tower, the abnormal objects in each frame of the real-time continuous monitoring images are identified, and the area of ​​the abnormal objects and the average vertical height of the lowest point of the wire suspension in each frame of the real-time continuous monitoring images of each power tower are obtained.

[0019] As a preferred technical solution, the real-time monitoring data transmission parameter set of each power tower is captured, specifically including: A real-time monitoring data channel parameter set of each power tower is obtained, wherein the real-time monitoring data channel parameter set of each power tower includes real-time monitoring data transmission bandwidth, real-time monitoring data transmission flow, real-time monitoring data transmission network delay and monitoring data transmission distance.

[0020] As a preferred technical solution, the analysis and processing obtains the real-time abnormal value of monitoring of each power tower, and the specific processing conditions are: Based on the normal monitoring images of each power tower pre-stored in the database, the normal vertical height, normal minimum tilt angle and normal average vertical height of the lowest point of wire suspension of each power tower are extracted.

[0021] A pre-stored power tower real-time monitoring data channel parameter verification set is extracted from the database, wherein the power tower real-time monitoring data channel parameter verification set includes a real-time monitoring data transmission bandwidth verification value, a real-time monitoring data transmission flow verification value, a real-time monitoring data transmission network delay verification value and a monitoring data transmission distance verification value.

[0022] The specific processing conditions for obtaining the real-time abnormal value of monitoring of each power tower are as follows: ; ; ; in, For the Real-time abnormal values ​​of monitoring of power towers, For the The abnormal value of the real-time monitoring image of the power tower, For the The monitoring of power towers transmits abnormal values ​​in real time. For the Power tower Frame monitoring of the vertical height of power towers in real-time continuous images, For the Power tower The minimum tilt angle of the power tower in the real-time continuous image of frame monitoring, For the Power tower The average vertical height of the lowest point of the wire suspension in the real-time continuous image of the frame monitoring, For the Power tower Frame monitoring of the area of ​​abnormal objects in real-time continuous images, For the The normal vertical height of a power tower, For the The normal minimum tilt angle of a power tower is For the The normal average vertical height of the lowest point of the wire suspension of a power tower, To monitor the total area of ​​real-time continuous images, For the The real-time monitoring data transmission bandwidth of each power tower, For the Real-time monitoring of data transmission flow of power towers, For the The real-time monitoring data transmission network delay of each power tower, For the The monitoring data transmission distance of a power tower is To monitor the data transmission bandwidth check value in real time, To monitor the data transmission flow check value in real time, To monitor the data transmission network delay check value in real time, To monitor the data transmission distance check value, is the vertical height weight factor of the power tower, is the weight factor of the minimum tilt angle of the power tower, is the weight factor of the average vertical height of the lowest point of wire suspension, is the area weight factor of the abnormal object, To monitor the data transmission bandwidth weight factor in real time, To monitor the data transmission traffic weight factor in real time, To monitor the data transmission network delay weight factor in real time, To monitor the data transmission distance weight factor, The number of the power tower. , n is the total number of power towers, is the image frame number, , b is the total number of image frames, and e is a natural constant.

[0023] As a preferred technical solution, the real-time monitoring results of each power tower are obtained by analyzing and processing the real-time abnormal values ​​of each power tower, which specifically includes: Based on the real-time abnormal value of each power tower, the real-time monitoring result corresponding to each real-time abnormal value interval is matched to obtain the real-time monitoring result of each power tower, and the real-time monitoring result of each power tower includes demand warning and no-demand warning.

[0024] If the real-time monitoring result of the power tower is a demand warning, a warning signal is sent to the management terminal.

[0025] A device, as a preferred technical solution, includes: the device has one or more programs, and the one or more programs are executed by one or more processors to implement the method as described in any one of the invention contents.

[0026] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects: (1) The present invention provides a method for monitoring a power tower, which comprehensively considers the environmental factors of the area where the power tower is located and comprehensively reflects the severity of the environment in the area where the power tower is located. By evaluating the severity of the environment in the area where the power tower is located, it is helpful to optimize resource allocation and improve maintenance efficiency.

[0027] (2) By analyzing and processing the abnormal conditions of the real-time monitoring images of the power tower and the real-time transmission abnormalities of the monitoring equipment at the same time, the real-time abnormalities of the power tower monitoring are fully reflected. Not only the abnormal conditions of the monitoring images of the power tower are paid attention to, but also the real-time transmission abnormalities of the monitoring facilities of the power tower are paid attention to, so as to prevent accidents caused by the failure to transmit the monitoring video information in time due to the real-time transmission abnormalities of the monitoring facilities of the power tower.

[0028] (3) By analyzing and processing the real-time transmission status of the power tower monitoring and setting up additional early warning processing, the timeliness of discovering transmission anomalies can be improved. By adjusting parameters after early warning, the response speed can be improved, resource allocation can be optimized, and monitoring stability can be ensured.

[0029] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0031] Figure 2 This is an example diagram of real-time abnormal value scatter points of power tower monitoring involved in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0034] See also Figure 1 As shown, an embodiment of the present invention provides a method for monitoring a power tower, comprising: The historical environmental parameter sets of the areas where the power towers are located are collected, and the environmental severity assessment values ​​of the areas where the power towers are located are obtained through processing and analysis. Based on the environmental severity assessment values ​​of the areas where the power towers are located, environmental assessment labels of the areas where the power towers are located are obtained.

[0035] The historical environmental parameter sets of the areas where the power towers are located are collected, and the environmental severity assessment values ​​of the areas where the power towers are located are obtained through processing and analysis. The specific process is as follows: The historical environmental parameter set of the area where each power tower is located, wherein the historical environmental parameter set includes the historical number of thunderstorm days, the historical average daily precipitation, the historical average daily temperature difference and the historical average daily humidity, is processed and analyzed to obtain an assessment value of the environmental severity of the area where each power tower is located.

[0036] It should be noted that the historical environmental parameter set of the area where each power tower is located is taken from the historical environmental parameters of the area within a certain period before the construction of each power tower (such as 10 years in this embodiment), which is obtained by consulting the historical meteorological logs of the area where each power tower is located.

[0037] In this embodiment, the number of historical thunderstorm days refers to the number of thunderstorm days that occurred in the area where each power tower is located in the ten years before its construction, which is prone to cause lightning strikes, wildfires, power equipment damage, power outages and other accidents. By counting the number of historical thunderstorm days, the frequency of lightning activity in the area can be evaluated, thereby judging the risk of lightning strikes on power towers and the risk of natural disasters such as wildfires in the area where the power towers are located.

[0038] The historical average daily precipitation refers to the average daily precipitation in the area where each power tower is located in the ten years before its construction. Precipitation directly affects the moisture and corrosiveness of the soil. Excessive precipitation usually leads to soil loosening, foundation settlement, and even floods, threatening the stability of the power tower. The average daily precipitation data helps to assess the humidity and flood risk in the area.

[0039] The historical average daily temperature difference refers to the average daily temperature difference in the area where each power tower is located in the ten years before its construction. Temperature changes will affect the performance of materials. For example, thermal expansion and contraction effects usually lead to stress changes in metal components. Extreme high or low temperatures usually accelerate material aging. By analyzing the average daily temperature changes, the temperature change range and the frequency of extreme temperatures in the area can be evaluated, thereby judging the adaptability and life of the power tower under different temperature conditions.

[0040] The historical average daily humidity refers to the average daily humidity in the area where each power tower is located in the ten years before its construction. A high humidity environment can easily lead to corrosion of metal components and degradation of insulation material performance, affecting the electrical performance and mechanical strength of the power tower. The average daily humidity data helps to assess the humidity level in the area, and then determine the corrosion resistance and electrical reliability of the power tower in a humid environment.

[0041] Comprehensive consideration of multiple environmental parameters can more comprehensively reflect the severity of the environment in the area where the power tower is located, avoiding the one-sidedness of single factor assessment. Through assessment, high-risk areas can be identified in advance and targeted monitoring plans can be adopted, which will help optimize resource allocation, prioritize monitoring intensity and human resources in areas with higher environmental severity, and improve maintenance efficiency and economic benefits.

[0042] A preset historical environmental parameter test set is extracted from the database, wherein the historical environmental parameter test set includes a historical thunderstorm weather day number test value, a historical daily average precipitation test value, a historical daily average temperature difference test value, and a historical daily average humidity test value.

[0043] The environmental severity assessment value of the area where each power tower is located, and the specific processing conditions are: ; in, For the The environmental severity assessment value of the area where the power tower is located, For the The number of historical thunderstorm days in the area where the power tower is located, For the The historical average daily precipitation in the area where the power tower is located, For the The historical daily average temperature difference in the area where the power tower is located, For the The historical average daily humidity in the area where the power tower is located, is the historical thunderstorm weather days test value, is the historical daily average precipitation test value, is the historical daily average temperature difference test value, is the historical average daily humidity test value, is the weight factor of the number of historical thunderstorm days, is the weight factor of the historical daily average temperature difference, is the weight factor of historical daily average precipitation, is the historical daily average humidity weight factor, Number the power towers. , is the total number of power towers, and e is a natural constant.

[0044] It should be noted that the weight factor of the number of historical thunderstorm days, the weight factor of the historical average daily precipitation, the weight factor of the historical average daily temperature difference and the weight factor of the historical average daily humidity all have a value range between 0 and 1 and meet the following conditions: The weight factor of historical thunderstorm days is the impact factor corresponding to the environmental severity assessment value of the area where the power tower is located preset in the database, which indicates the numerical value of the impact of historical thunderstorm days on the environmental severity assessment value of the area where the power tower is located. The weight factor of historical average daily precipitation is the impact factor corresponding to the environmental severity assessment value of the area where the power tower is located preset in the database, which indicates the numerical value of the impact of historical average daily precipitation on the environmental severity assessment value of the area where the power tower is located. The weight factor of historical average daily temperature difference is the impact factor corresponding to the environmental severity assessment value of the area where the power tower is located preset in the database, which indicates the numerical value of the impact of historical average daily temperature difference on the environmental severity assessment value of the area where the power tower is located. The weight factor of historical average daily humidity is the impact factor corresponding to the environmental severity assessment value of the area where the power tower is located preset in the database, which indicates the numerical value of the impact of historical average daily humidity on the environmental severity assessment value of the area where the power tower is located. The numerical value of the influence degree of the severity assessment value can be directly obtained from the database when used to obtain the historical thunderstorm weather days weight factor, the historical average daily precipitation weight factor, the historical average daily temperature difference weight factor and the historical average daily humidity weight factor, and the corresponding relationship is a pre-set mapping relationship. For example: the environmental severity assessment value of the area where the power tower is located is respectively mapped with the historical thunderstorm weather days, the historical average daily precipitation, the historical average daily temperature difference and the historical average daily humidity corresponding to the historical thunderstorm weather days, the historical average daily precipitation, the historical average daily temperature difference weight factor and the historical average daily humidity weight factor to form a mapping set. The historical thunderstorm weather days, the historical average daily precipitation, the historical average daily temperature difference and the historical average daily humidity of each power tower are input into the mapping set to obtain the historical thunderstorm weather days weight factor, the historical average daily precipitation weight factor, the historical average daily temperature difference weight factor and the historical average daily humidity weight factor of each power tower, and the mapping relationship is one-to-one correspondence.

[0045] It should also be noted that there is a certain correlation between the number of historical thunderstorm days, historical average daily precipitation, historical average daily temperature difference and historical average daily humidity. Thunderstorms are usually accompanied by heavy precipitation. Therefore, in areas with many thunderstorm days, the average daily precipitation is often higher. The heavy precipitation brought by thunderstorms will increase soil moisture and corrosiveness. At the same time, lightning activity itself poses a direct threat to power towers. Thunderstorms often occur in seasons with high temperatures, especially in summer. Therefore, in areas with many thunderstorm days, the average daily temperature is usually higher. High temperature environment usually increases the frequency of thunderstorms. At the same time, high temperature itself will also affect the performance of power tower materials. Thunderstorms are often accompanied by high humidity environment. Therefore, in areas with many thunderstorm days, the average daily humidity is usually higher. High humidity environment is not only conducive to the formation of thunderstorms, but also accelerates the corrosion of metal components and the performance degradation of insulation materials. There is a certain seasonal correlation between precipitation and temperature, such as high temperature and heavy rain in summer and low temperature and little rain in winter. Precipitation directly affects air humidity. In areas with high precipitation, the average daily humidity is usually higher. There is a reciprocal relationship between temperature and humidity. A high temperature environment usually increases the evaporation of air, thereby affecting the humidity.

[0046] These parameters do not exist in isolation, but interact and work together to determine the severity of the environment in the area where the power tower is located. Due to the complexity of the climate system, the correlation between these parameters usually varies by region, season and specific climate conditions, and multiple factors need to be considered comprehensively. When evaluating the severity of the environment, the interaction of these parameters must be considered comprehensively to avoid the one-sidedness of a single factor assessment.

[0047] The specific process of obtaining the environmental assessment labels of the areas where the power towers are located is as follows: Based on the environmental severity assessment value of the area where each power tower is located, it is compared with the environmental severity assessment value threshold stored in the database. If the environmental severity assessment value of the area where a power tower is located is less than or equal to the environmental severity assessment value threshold, the environmental assessment label of the area where the power tower is located is defined as a normal environment.

[0048] The environmental severity assessment value threshold is obtained by extraction from a database and is used to comprehensively assess the environmental severity of each power tower.

[0049] The environmental severity assessment value threshold is processed as follows: in a specific embodiment, the environmental severity assessment value threshold is directly set in the database during the development of the power tower monitoring system involved in the embodiment of the present invention. There are many methods for setting the environmental severity assessment value threshold, such as obtaining it through statistical analysis, including counting the environmental severity assessment values ​​under historical low environmental severity conditions (for example, the number of historical thunderstorm days is less than or equal to 120 times), and averaging the environmental severity assessment values ​​obtained multiple times to obtain the environmental severity assessment value threshold, or experts judge the boundary between high environmental severity assessment values ​​and low environmental severity assessment values ​​through corresponding historical data to set the threshold, thereby adjusting the threshold.

[0050] If the environmental severity assessment value of the area where a certain power tower is located is greater than the environmental severity assessment value threshold, the environmental severity assessment value of the area where the power tower is located is subtracted from the environmental severity assessment value threshold stored in the database to obtain the environmental severity verification value of the area where the power tower is located, and the environmental impact label corresponding to each environmental severity verification value interval is mapped and matched to obtain the environmental impact label of the area where the power tower is located, and the environmental impact label of the area where the power tower is located is defined as an environmental assessment label, and the environmental impact label of the area where the power tower is located is an extreme environment or a harsh environment.

[0051] The environmental assessment labels of the areas where each power tower is located are obtained through statistics.

[0052] Based on the environmental assessment label of the area where each power tower is located, the monitoring warning value of each power tower is obtained, and the monitoring warning value of each power tower is used to adjust the frame number segmentation accuracy of the real-time monitoring video of each power tower.

[0053] By setting different monitoring alert values ​​for power towers with different environmental risks, monitoring resources can be allocated more specifically. Areas with harsh environments require higher alert values ​​and higher frame segmentation accuracy, while areas with normal environments can reduce alert values ​​and frames accordingly, thereby optimizing resource usage.

[0054] The monitoring warning value of each power tower is obtained based on the environmental assessment label of the area where each power tower is located, specifically including: Based on the environmental assessment label of each power tower, the environmental interference factor corresponding to each environmental assessment label stored in the database is matched to obtain the environmental interference factor of each power tower.

[0055] It should be noted that the environmental assessment label of each power tower is matched with the environmental interference factor corresponding to each environmental assessment label stored in the database. The specific process is: based on the environmental assessment label of each power tower, the environmental interference factor corresponding to each environmental assessment label stored in the database is mapped, and the environmental interference factor corresponding to the interval of the environmental assessment label of each power tower is obtained by matching.

[0056] The environmental interference factor of each power tower is used to correct the influence of environmental factors on the monitoring warning value of each power tower.

[0057] Based on the operation and maintenance work log of each power tower, an operation and maintenance data set of each power tower is obtained, wherein the operation and maintenance data set of each power tower includes the number of inspections of each power tower, the accumulated operation time of each power tower and a single maintenance cycle of each power tower.

[0058] The number of overhauls of each power tower refers to the number of fault overhauls after the construction of each power tower is completed. By counting the number of overhauls, the failure frequency of specific power towers can be analyzed, and towers with high-frequency failures can be identified, so as to carry out key monitoring and maintenance.

[0059] The cumulative operating time of each power tower refers to the total cumulative operating time of each power tower after its construction. The cumulative operating time directly reflects the service life of the equipment and is an important indicator for evaluating the degree of equipment aging. Combined with the number of power tower maintenance times, the reliability of the power tower in different operating time periods can be analyzed to identify high-risk periods.

[0060] The single maintenance cycle of each power tower refers to the duration of the most recent regular maintenance interval after the construction of each power tower is completed. The single maintenance cycle of each power tower reflects the maintenance status of each power tower. The power towers with shorter maintenance intervals are usually located in areas with higher environmental severity values.

[0061] A preset operation and maintenance data verification set is extracted from the database, wherein the operation and maintenance data verification set includes a maintenance number verification value, a cumulative operating time verification value, and a single maintenance cycle verification value.

[0062] Based on the environmental interference factors of each power tower and the operation and maintenance data set of each power tower, the monitoring warning value of each power tower is obtained through analysis and processing.

[0063] The monitoring warning value of each power tower is specifically processed as follows: ; in, For the The monitoring alarm value of a power tower, For the The number of inspections of power towers, For the The cumulative operating time of the power tower, For the A single maintenance cycle of a power tower, is the inspection number verification value, is the cumulative running time verification value, It is the calibration value of a single maintenance cycle. For the Environmental interference factors of power towers, Number the power towers. , is the total number of power towers, and e is a natural constant.

[0064] The monitoring alert value of each power tower is used to adjust the frame segmentation accuracy of the real-time monitoring video of each power tower.

[0065] It should be noted that there is a certain correlation between the parameters of the number of overhauls of each power tower, the cumulative operating time of each power tower, and the single maintenance cycle of each power tower. Generally speaking, the longer the cumulative operating time, the greater the possibility of equipment aging and wear, resulting in an increase in the number of overhauls. Power towers with longer cumulative operating time usually experience more environmental changes and load shocks, so the number of overhauls increases. The number of overhauls is an important basis for adjusting the single maintenance cycle. Frequent overhauls may mean that the current single maintenance cycle is unreasonable and needs to be shortened. A large number of overhauls may reflect poor maintenance results, and the maintenance content and cycle need to be optimized. The cumulative operating time directly affects the setting of the single maintenance cycle. The older the equipment, the shorter the single maintenance cycle is usually.

[0066] Based on the monitoring alert value of each power tower, the image quality resolution of the real-time monitoring video of each power tower is set, and the real-time monitoring video of each power tower is segmented into real-time continuous monitoring images according to the adjusted frame segmentation accuracy. The real-time continuous monitoring images of each power tower are statistically identified and the real-time monitoring data transmission parameter set of each power tower is captured. The real-time monitoring images of each power tower are compared with the normal monitoring images of each power tower pre-stored in the database to obtain the abnormal values ​​of the real-time monitoring images of each power tower.

[0067] The image quality resolution of the real-time monitoring video of each power tower is set based on the monitoring alert value of each power tower, and the real-time monitoring video of each power tower is segmented into real-time continuous monitoring images according to the adjusted frame segmentation accuracy, specifically including: Based on the monitoring alert value of each power tower, the image quality resolution of each real-time monitoring video corresponding to each monitoring alert value interval stored in the database is matched to obtain the image quality resolution of the real-time monitoring video of each power tower, and the image quality resolution of the monitoring equipment of each power tower is set according to the obtained image quality resolution of the real-time monitoring video of each power tower through the control terminal.

[0068] It should be noted that the monitoring alert value of each power tower is matched with the image quality resolution of each real-time monitoring video corresponding to each monitoring alert value interval stored in the database. The specific process is: based on the monitoring alert value of each power tower, the image quality resolution of each real-time monitoring video corresponding to each monitoring alert value interval stored in the database is mapped, and the image quality resolution corresponding to the interval in which the monitoring alert value of each power tower is located is obtained by matching.

[0069] Based on the monitoring alert value of each power tower, it is matched with the frame segmentation accuracy adjustment value corresponding to each monitoring alert value interval stored in the database to obtain the frame segmentation accuracy of each power tower, and the real-time monitoring video of each power tower is segmented and processed into real-time continuous images of each frame monitoring according to its frame segmentation accuracy.

[0070] It should be noted that the monitoring alert value of each power tower is matched with the frame number segmentation accuracy adjustment value corresponding to each monitoring alert value interval stored in the database. The specific process is: based on the monitoring alert value of each power tower, it is mapped with the frame number segmentation accuracy adjustment value corresponding to each monitoring alert value interval stored in the database, and the frame number segmentation accuracy adjustment value corresponding to the interval in which the monitoring alert value of each power tower is located is obtained by matching.

[0071] The image quality resolution setting of the monitoring equipment of each power tower improves the monitoring image quality resolution of the power towers with higher monitoring alert values, which helps to monitor the power towers with higher monitoring alert values ​​more accurately and closely. Setting different image qualities for power towers with different monitoring alert values ​​can also reduce the load brought by real-time monitoring transmission.

[0072] The real-time monitoring video of each power tower is segmented and processed into real-time continuous images of each frame monitoring according to its frame segmentation accuracy. When the environment where the power tower is located is relatively bad, the frame segmentation accuracy is improved, and the analysis of the monitoring video will be more detailed, and abnormal situations can be identified more quickly, thereby improving monitoring efficiency. At the same time, when the environment where the power tower is located is relatively bad, using high frame segmentation accuracy can detect abnormal events more quickly, respond quickly, and improve the speed of emergency processing.

[0073] The statistical identification of the real-time continuous monitoring images of each power tower specifically includes: Use image processing tools to identify each frame of real-time continuous monitoring images of each power tower, analyze and process to obtain the vertical height from the highest point of the power tower to the horizontal ground in each frame of real-time continuous monitoring images, as well as the angle between the line connecting the highest point of the power tower and the center point of the four-corner support base surface of the power tower and the plane of the four-corner support base of the power tower, and record them as the vertical height of the power tower and the inclination angle of the power tower in each frame of real-time continuous monitoring images of each power tower. In another embodiment, feature point extraction is performed by edge detection using image processing technology, the highest point of the power tower and the center point of the four-corner support base plane are extracted, and the depth information is obtained by parallax calculation using the monitoring camera parameters and the pixel position of the feature points in the image. Combined with the known reference height, the actual height is calculated by triangulation, and the inclination angle is calculated by the angle formula between vectors.

[0074] The vertical height of the power tower and the inclination angle of the power tower in each frame of the real-time continuous monitoring image of each power tower are used to monitor the stability of the tower body of each power tower.

[0075] According to the real-time continuous monitoring images of each frame of each power tower, the abnormal objects in each frame of the real-time continuous monitoring images are identified, and the area of ​​the abnormal objects and the average vertical height of the lowest point of the wire suspension of each frame of the real-time continuous monitoring images of each power tower are obtained.

[0076] The method of identifying abnormal objects in each frame of real-time continuous monitoring images and obtaining the area of ​​abnormal objects in each frame of real-time continuous monitoring images of each power tower, in another embodiment, uses YOLO deep learning to identify each frame of real-time continuous monitoring images of each power tower, and extracts feature points through edge detection using image processing technology. In the embodiment of the present invention, the geometric shape and size of the abnormal objects are extracted, and the area of ​​the abnormal objects is obtained using the monitoring camera parameters and the pixel position of the feature points in the image.

[0077] In another embodiment, YOLO deep learning is used to identify each frame of real-time continuous monitoring images of each power tower, and feature points are extracted through edge detection using image processing technology. The lowest point of the wire suspension of each power tower is extracted, and the depth information is obtained through parallax calculation using monitoring camera parameters and the pixel position of the feature points in the image. Combined with the known reference height, the actual height is calculated through triangulation.

[0078] It should be noted that, for the determination of abnormal objects, in another embodiment, the management terminal inputs the basic image information of objects with a high probability of appearing in the area where the power tower is located under the environmental assessment label based on the environmental assessment label of each power tower. For example, the basic image information of a flock of flying birds is input into the power tower monitoring management terminal with a normal environmental label. When a flock of flying birds appears in the monitoring screen of the power tower, it will not be determined as an abnormal object. When an object that is not pre-set appears in the monitoring screen of a power tower, for example, an oval black object (i.e., a bird's nest) appears on the top of the power tower, it is defined as an abnormal object and analyzed and processed.

[0079] The real-time monitoring data transmission parameter set of each power tower is captured, specifically including: A real-time monitoring data channel parameter set of each power tower is obtained, wherein the real-time monitoring data channel parameter set of each power tower includes real-time monitoring data transmission bandwidth, real-time monitoring data transmission flow, real-time monitoring data transmission network delay and monitoring data transmission distance.

[0080] Real-time monitoring data transmission bandwidth refers to the maximum amount of data that the network can transmit per unit time, usually measured in bits per second or bytes per second, which affects the transmission speed. High bandwidth can support more surveillance cameras or higher-resolution video streams, while low bandwidth will limit the scale and functionality of the monitoring system.

[0081] Real-time monitoring of data transmission flow refers to the actual amount of data transmitted through the network within a certain period of time. By monitoring the flow, network congestion or abnormalities can be discovered in time, so that measures can be taken to ensure the stable operation of the monitoring system.

[0082] Real-time monitoring data transmission network latency refers to the time required for data to travel from the sender to the receiver, usually measured in milliseconds (ms). Low latency is critical for monitoring systems that require real-time feedback to ensure that operators can respond in a timely manner. Latency reflects the real-time performance of the network, and high latency can cause monitoring images to freeze or lose important information.

[0083] The analysis and processing obtains the real-time abnormal value of monitoring of each power tower, and the specific processing conditions are: The normal monitoring images of each power tower pre-stored in the database include the normal vertical height, the normal minimum tilt angle and the normal average vertical height of the lowest point of wire suspension of the power tower in a normal state.

[0084] A pre-stored power tower real-time monitoring data channel parameter verification set is extracted from the database, wherein the power tower real-time monitoring data channel parameter verification set includes a real-time monitoring data transmission bandwidth verification value, a real-time monitoring data transmission flow verification value, a real-time monitoring data transmission network delay verification value and a monitoring data transmission distance verification value.

[0085] The specific processing conditions for obtaining the real-time abnormal value of monitoring of each power tower are as follows: ; ; ; in, For the Real-time abnormal values ​​of monitoring of power towers, For the The abnormal value of the real-time monitoring image of the power tower, For the The monitoring of power towers transmits abnormal values ​​in real time. For the Power tower Frame monitoring of the vertical height of power towers in real-time continuous images, For the Power tower The minimum tilt angle of the power tower in the real-time continuous image of frame monitoring, For the Power tower The average vertical height of the lowest point of the wire suspension in the real-time continuous image of the frame monitoring, For the Power tower Frame monitoring of the area of ​​abnormal objects in real-time continuous images, For the The normal vertical height of a power tower, For the The normal minimum tilt angle of a power tower is For the The normal average vertical height of the lowest point of the wire suspension of a power tower, To monitor the total area of ​​real-time continuous images, For the The real-time monitoring data transmission bandwidth of each power tower, For the Real-time monitoring of data transmission flow of power towers, For the The real-time monitoring data transmission network delay of each power tower, For the The monitoring data transmission distance of a power tower is To monitor the data transmission bandwidth check value in real time, To monitor the data transmission flow check value in real time, To monitor the data transmission network delay check value in real time, To monitor the data transmission distance check value, is the vertical height weight factor of the power tower, is the weight factor of the minimum tilt angle of the power tower, is the weight factor of the average vertical height of the lowest point of wire suspension, is the area weight factor of the abnormal object, To monitor the data transmission bandwidth weight factor in real time, To monitor the data transmission traffic weight factor in real time, To monitor the data transmission network delay weight factor in real time, To monitor the data transmission distance weight factor, The number of the power tower. , n is the total number of power towers, is the image frame number, , b is the total number of image frames, and e is a natural constant.

[0086] It should be noted that the vertical height weight factor of the power tower, the minimum tilt angle weight factor of the power tower, the average vertical height weight factor of the lowest point of the wire suspension and the abnormal object area weight factor all have a value range between 0 and 1 and meet , the vertical height weight factor of the power tower is the influence factor corresponding to the abnormal value of the monitoring real-time image of the power tower preset in the database, which indicates the numerical value of the influence degree of the vertical height of the power tower on the abnormal value of the monitoring real-time image of the power tower, the minimum tilt angle weight factor of the power tower is the influence factor corresponding to the abnormal value of the monitoring real-time image of the power tower preset in the database, which indicates the numerical value of the influence degree of the minimum tilt angle of the power tower on the abnormal value of the monitoring real-time image of the power tower, the average vertical height weight factor of the lowest point of the wire suspension is the influence factor corresponding to the abnormal value of the monitoring real-time image of the power tower preset in the database, which indicates the numerical value of the influence degree of the average vertical height of the lowest point of the wire suspension on the abnormal value of the monitoring real-time image of the power tower, the abnormal object area weight factor is the influence factor corresponding to the abnormal value of the monitoring real-time image of the power tower preset in the database, which indicates the numerical value of the influence degree of the abnormal object area on the abnormal value of the monitoring real-time image of the power tower, and can be directly obtained from the database when used. Take the weight factor of the vertical height of the power tower, the weight factor of the minimum tilt angle of the power tower, the weight factor of the average vertical height of the lowest point of the wire suspension and the weight factor of the abnormal object area, and the corresponding relationship is a pre-set mapping relationship. For example, the abnormal value of the real-time monitoring image of the power tower is respectively corresponding to the vertical height of the power tower, the minimum tilt angle of the power tower, the average vertical height of the lowest point of the wire suspension and the abnormal object area, and the vertical height weight factor of the power tower, the minimum tilt angle of the power tower, the average vertical height of the lowest point of the wire suspension and the abnormal object area form a mapping set. The vertical height of the power tower, the minimum tilt angle of the power tower, the average vertical height of the lowest point of the wire suspension and the abnormal object area of ​​each power tower are input into the mapping set to obtain the vertical height weight factor of the power tower, the minimum tilt angle of the power tower, the average vertical height weight factor of the lowest point of the wire suspension and the abnormal object area of ​​each power tower, and the mapping relationship is one-to-one correspondence.

[0087] The real-time monitoring data transmission bandwidth weight factor, the real-time monitoring data transmission flow weight factor, the real-time monitoring data transmission network delay weight factor and the monitoring data transmission distance weight factor all have a value range between 0 and 1 and meet The real-time monitoring data transmission bandwidth weight factor is the impact factor corresponding to the real-time transmission abnormal value of the monitoring of the power tower preset in the database, which indicates the numerical value of the influence of the real-time monitoring data transmission bandwidth on the real-time transmission abnormal value of the monitoring of the power tower. The real-time monitoring data transmission flow weight factor is the impact factor corresponding to the real-time transmission abnormal value of the monitoring of the power tower preset in the database, which indicates the numerical value of the influence of the real-time monitoring data transmission flow on the real-time transmission abnormal value of the monitoring of the power tower. The real-time monitoring data transmission network delay weight factor is the impact factor corresponding to the real-time transmission abnormal value of the monitoring of the power tower preset in the database, which indicates the numerical value of the influence of the real-time monitoring data transmission network delay on the real-time transmission abnormal value of the monitoring of the power tower. The monitoring data transmission distance weight factor is the impact factor corresponding to the real-time transmission abnormal value of the monitoring of the power tower preset in the database, which indicates the numerical value of the influence of the monitoring data transmission distance on the real-time transmission abnormal value of the monitoring of the power tower. When used, the real-time monitoring can be directly obtained from the database. The corresponding relationship between the data transmission bandwidth weight factor, the real-time monitoring data transmission flow weight factor, the real-time monitoring data transmission network delay weight factor and the monitoring data transmission distance weight factor is a pre-set mapping relationship. For example, the real-time monitoring transmission abnormal value of the power tower is respectively mapped with the real-time monitoring data transmission bandwidth, the real-time monitoring data transmission flow, the real-time monitoring data transmission network delay and the monitoring data transmission distance corresponding to the real-time monitoring data transmission bandwidth, the real-time monitoring data transmission flow, the real-time monitoring data transmission network delay and the monitoring data transmission distance to form a mapping set. The real-time monitoring data transmission bandwidth, the real-time monitoring data transmission flow, the real-time monitoring data transmission network delay and the monitoring data transmission distance of each power tower are input into the mapping set to obtain the real-time monitoring data transmission bandwidth weight factor, the real-time monitoring data transmission flow weight factor, the real-time monitoring data transmission network delay weight factor and the monitoring data transmission distance weight factor of each power tower, wherein the mapping relationship is one-to-one correspondence.

[0088] It should also be noted that there is a certain correlation between the vertical height of the power tower, the minimum tilt angle of the power tower, the average vertical height of the lowest point of the wire suspension, and the area of ​​the abnormal object. The vertical height of the power tower determines the lowest point of the wire suspension, which directly affects the safe distance of the wires and the influence range of the electromagnetic field.

[0089] The minimum tilt angle of a power tower reflects the degree of structural deformation of the tower when it is subjected to external forces (such as wind load, ice load, temperature change, etc.). The tilt angle of the tower is related to the tower's design, material, height and the weight of the wires. If the tilt angle is too large, it will usually cause excessive tension in the wires and even collapse the tower.

[0090] The area of ​​abnormal objects refers to the size of objects detected during monitoring that usually pose a threat to the power transmission system, such as kites, balloons, branches, etc. The size of the area of ​​abnormal objects is related to the vertical height of the power tower and the average vertical height of the lowest point of the wire suspension, because larger objects are usually more likely to touch the high wires. If the area of ​​the abnormal object is large and appears near the tower, it usually increases the risk of the wire being pulled, thereby affecting the tilt angle and stability of the tower.

[0091] Generally, a decrease in the average vertical height of the lowest point where the wire is suspended or a larger area of ​​abnormal objects usually causes the tower to bear additional forces, thereby increasing the tilt angle. When the area of ​​the abnormal object is large, if the average vertical height of the lowest point where the wire is suspended is low, the risk of failure usually increases.

[0092] like Figure 2 What is shown is an example scatter diagram of real-time abnormal value of power tower monitoring involved in an embodiment of the present invention. The example diagram shows 10 groups of different real-time abnormal value of power tower monitoring. In this embodiment, the horizontal axis is the power tower number, and the vertical axis is the real-time abnormal value of monitoring. By simultaneously processing the vertical height of a power tower, the minimum inclination angle of the power tower, the average vertical height of the lowest point of wire suspension and the area of ​​abnormal objects of a certain power tower, it is ensured that the real-time monitoring image abnormal value fully represents the real-time monitoring image abnormality of the power tower. Similarly, by simultaneously processing the real-time monitoring data transmission bandwidth, real-time monitoring data transmission flow, real-time monitoring data transmission network delay and monitoring data transmission distance of a certain power tower monitoring equipment, it is ensured that the real-time monitoring transmission abnormal value fully represents the real-time transmission abnormality of the power tower monitoring equipment. By simultaneously analyzing and processing the real-time monitoring image abnormality of the power tower and the real-time transmission abnormality of the monitoring equipment, the real-time abnormality of the power tower monitoring is comprehensively represented.

[0093] Based on the real-time abnormal values ​​monitored by each power tower, the real-time monitoring results of each power tower are obtained through analysis and processing, and feedback processing is performed based on the real-time monitoring results of each power tower.

[0094] The real-time monitoring results of each power tower are obtained by analyzing and processing the real-time abnormal values ​​of each power tower, specifically including: Based on the real-time abnormal value of monitoring of each power tower, the real-time monitoring results corresponding to the real-time abnormal value interval are matched to obtain the real-time monitoring results of each power tower, and the real-time monitoring results of each power tower include demand warning and no-demand warning.

[0095] If the real-time monitoring result of the power tower is a demand warning, a warning signal will be sent to the management terminal, and the staff will be reminded to repair or alert the power tower according to the real-time monitoring video, and adjust the monitoring accuracy and number of real-time monitoring equipment.

[0096] If the real-time monitoring result of the power tower shows that no warning is required, the monitoring accuracy of the existing real-time monitoring equipment will be maintained.

[0097] The real-time monitoring results of each power tower are obtained by analyzing and processing, and the real-time transmission abnormal values ​​of the monitoring of each power tower are also obtained by analyzing and processing, and the real-time transmission results of the monitoring of each power tower are obtained, specifically including: Based on the real-time transmission abnormal value of the monitoring of each power tower, the real-time monitoring results corresponding to the real-time transmission abnormal value interval are matched to obtain the real-time transmission results of the monitoring of each power tower, and the real-time transmission results of the monitoring of each power tower include demand warning and no-demand warning.

[0098] If the real-time transmission result of the monitoring of the power tower is a demand warning, a warning signal will be sent to the management terminal, and the staff will be reminded to repair the monitoring equipment or adjust the transmission parameters of the monitoring equipment.

[0099] In this embodiment, the present invention provides a device, including: the device has one or more programs, and the one or more programs are executed by one or more processors to implement the method as described in any one of the above contents.

[0100] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0101] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A method for monitoring a power tower, characterized in that: include: Collect the historical environmental parameter sets of the areas where the power towers are located, process and analyze to obtain the environmental severity assessment values ​​of the areas where the power towers are located, and obtain the environmental assessment labels of the areas where the power towers are located based on the environmental severity assessment values ​​of the areas where the power towers are located; Based on the environmental assessment label of the area where each power tower is located, a monitoring warning value of each power tower is obtained, and the monitoring warning value of each power tower is used to adjust the frame number segmentation accuracy of the real-time monitoring video of each power tower; Based on the monitoring alert value of each power tower, the image quality resolution of the real-time monitoring video of each power tower is set, and the real-time monitoring video of each power tower is segmented and processed into a monitoring real-time continuous image according to the adjusted frame number segmentation accuracy, the monitoring real-time continuous image of each power tower is statistically identified and the real-time monitoring data transmission parameter set of each power tower is captured, and the real-time monitoring abnormal value of each power tower is obtained by analysis and processing; Based on the real-time abnormal values ​​monitored by each power tower, the real-time monitoring results of each power tower are obtained through analysis and processing, and feedback processing is performed based on the real-time monitoring results of each power tower.

2. A method for monitoring a power tower according to claim 1, characterized in that: The historical environmental parameter sets of the areas where the power towers are located are collected, and the environmental severity assessment values ​​of the areas where the power towers are located are obtained through processing and analysis. The specific process is as follows: The historical environmental parameter set of the area where each power tower is located includes the historical number of thunderstorm days, the historical average daily precipitation, the historical average daily temperature difference and the historical average daily humidity, thereby obtaining the environmental severity assessment value of the area where each power tower is located through processing and analysis.

3. A method for monitoring a power tower according to claim 2, characterized in that: The specific process of obtaining the environmental assessment labels of the areas where the power towers are located is as follows: Based on the environmental severity assessment value of the area where each power tower is located, the environmental severity assessment value threshold stored in the database is compared. If the environmental severity assessment value of the area where a power tower is located is less than or equal to the environmental severity assessment value threshold, the environmental assessment label of the area where the power tower is located is defined as a normal environment; If the environmental severity assessment value of the area where a certain power tower is located is greater than the environmental severity assessment value threshold, the environmental severity assessment value of the area where the power tower is located is subtracted from the environmental severity assessment value threshold stored in the database to obtain the environmental severity verification value of the area where the power tower is located, and the environmental impact label corresponding to each environmental severity verification value interval is mapped and matched to obtain the environmental impact label of the area where the power tower is located, and the environmental impact label of the area where the power tower is located is defined as an environmental assessment label, and the environmental impact label of the area where the power tower is located is an extreme environment or a harsh environment; The environmental assessment labels of the areas where each power tower is located are obtained through statistics.

4. A method for monitoring a power tower according to claim 3, characterized in that: The monitoring warning value of each power tower is obtained based on the environmental assessment label of the area where each power tower is located, specifically including: Based on the environmental assessment label of each power tower, the environmental interference factor corresponding to each environmental assessment label stored in the database is matched to obtain the environmental interference factor of each power tower; Acquire an operation and maintenance data set of each power tower, wherein the operation and maintenance data set of each power tower includes the number of inspections of each power tower, the cumulative operating time of each power tower, and a single maintenance cycle of each power tower; Based on the environmental interference factors of each power tower and the operation and maintenance data set of each power tower, the monitoring warning value of each power tower is obtained by analysis and processing; The monitoring alert value of each power tower is used to adjust the frame segmentation accuracy of the real-time monitoring video of each power tower.

5. A method for monitoring a power tower according to claim 4, characterized in that: The image quality resolution of the real-time monitoring video of each power tower is set based on the monitoring alert value of each power tower, and the real-time monitoring video of each power tower is segmented into real-time continuous monitoring images according to the adjusted frame segmentation accuracy, specifically including: Based on the monitoring alert value of the power tower, the image quality resolution of each real-time monitoring video corresponding to each monitoring alert value interval stored in the database is matched to obtain the image quality resolution of the real-time monitoring video of each power tower; Based on the monitoring alert value of each power tower, the frame segmentation accuracy corresponding to each monitoring alert value interval stored in the database is matched to obtain the frame segmentation accuracy of each power tower, and the real-time monitoring video of each power tower is segmented and processed into real-time continuous images of each frame monitoring.

6. A method for monitoring a power tower according to claim 5, characterized in that: The statistical identification of the real-time continuous monitoring images of each power tower specifically includes: Identify each frame of the real-time continuous monitoring image of each power tower, analyze and process to obtain the vertical height from the highest point of the power tower to the horizontal ground in each frame of the real-time continuous monitoring image, record it as the vertical height of the power tower in each frame of the real-time continuous monitoring image of each power tower, and at the same time extract the minimum angle between the connecting line of the highest point of the power tower and the center point of the surface of the four-corner support base of the power tower and the plane of the four-corner support base of the power tower, and record it as the minimum inclination angle of the power tower in each frame of the real-time continuous monitoring image of each power tower; According to the real-time continuous monitoring images of each frame of each power tower, the abnormal objects in each frame of the real-time continuous monitoring images are identified, and the area of ​​the abnormal objects and the average vertical height of the lowest point of the wire suspension in each frame of the real-time continuous monitoring images of each power tower are obtained.

7. A method for monitoring a power tower according to claim 3, characterized in that: The real-time monitoring data transmission parameter set of each power tower is captured, specifically including: A real-time monitoring data channel parameter set of each power tower is obtained, wherein the real-time monitoring data channel parameter set of each power tower includes real-time monitoring data transmission bandwidth, real-time monitoring data transmission flow, real-time monitoring data transmission network delay and monitoring data transmission distance.

8. A method for monitoring a power tower according to claim 7, characterized in that: The analysis and processing obtains the real-time abnormal value of monitoring of each power tower, and the specific processing conditions are: Based on the normal monitoring images of each power tower pre-stored in the database, the normal vertical height, the normal minimum tilt angle and the normal average vertical height of the lowest point of the wire suspension of each power tower are extracted; Extracting a pre-stored power tower real-time monitoring data channel parameter check set from a database, the power tower real-time monitoring data channel parameter check set includes a real-time monitoring data transmission bandwidth check value, a real-time monitoring data transmission flow check value, a real-time monitoring data transmission network delay check value and a monitoring data transmission distance check value; The specific processing conditions for obtaining the real-time abnormal value of monitoring of each power tower are as follows: ; ; ; in, For the Real-time abnormal values ​​of monitoring of power towers, For the The abnormal value of the real-time monitoring image of the power tower, For the The monitoring of power towers transmits abnormal values ​​in real time. For the Power tower Frame monitoring of the vertical height of power towers in real-time continuous images, For the Power tower The minimum tilt angle of the power tower in the real-time continuous image of frame monitoring, For the Power tower The average vertical height of the lowest point of the wire suspension in the real-time continuous image of the frame monitoring, For the Power tower Frame monitoring of the area of ​​abnormal objects in real-time continuous images, For the The normal vertical height of a power tower, For the The normal minimum tilt angle of a power tower is For the The normal average vertical height of the lowest point of the wire suspension of a power tower, To monitor the total area of ​​real-time continuous images, For the The real-time monitoring data transmission bandwidth of each power tower, For the Real-time monitoring of data transmission flow of power towers, For the The real-time monitoring data transmission network delay of each power tower, For the The monitoring data transmission distance of a power tower is To monitor the data transmission bandwidth check value in real time, To monitor the data transmission flow check value in real time, To monitor the data transmission network delay check value in real time, To monitor the data transmission distance check value, is the vertical height weight factor of the power tower, is the weight factor of the minimum tilt angle of the power tower, is the weight factor of the average vertical height of the lowest point of wire suspension, is the area weight factor of the abnormal object, To monitor the data transmission bandwidth weight factor in real time, To monitor the data transmission traffic weight factor in real time, To monitor the data transmission network delay weight factor in real time, To monitor the data transmission distance weight factor, The number of the power tower. , n is the total number of power towers, is the image frame number, , b is the total number of image frames, and e is a natural constant.

9. A method for monitoring a power tower according to claim 8, characterized in that: The real-time monitoring results of each power tower are obtained by analyzing and processing the real-time abnormal values ​​of each power tower, specifically including: Based on the real-time abnormal value of each power tower, the real-time monitoring result corresponding to each monitoring real-time abnormal value interval is matched to obtain the real-time monitoring result of each power tower, wherein the real-time monitoring result of each power tower includes demand warning and no demand warning; If the real-time monitoring result of the power tower is a demand warning, a warning signal is sent to the management terminal.

10. A device, characterized in that: include: The device has one or more programs, and the one or more programs are executed by one or more processors to implement the method according to any one of claims 1 to 9.

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