Line icing monitoring device and early warning method with image recognition function

Abstract

The present invention discloses a line icing monitoring device and early warning method with image recognition capabilities. The method is implemented using the device, comprising obtaining first meteorological information at any tower and second meteorological information at an associated line to be monitored; utilizing the comparison unit to obtain a first difference value and a second difference value; merging the first difference value and the second difference value to obtain a difference repair coefficient, marking the spacing distance information between the associated line to be monitored and the tower with the corresponding difference repair coefficient to form a difference marking coefficient; selecting a suitable difference marking coefficient for each section of the associated line to be monitored and assigning it to a preliminary icing prediction result for the section of the associated line to be monitored. By determining the difference between the meteorological conditions at each tower and the meteorological conditions at the associated line to be monitored, the difference is screened and matched, and then filled in with the simulated conductor icing monitoring result, thereby more accurately inferring the icing status of the appropriate associated line to be monitored.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission line disaster early warning technology, and in particular to a line icing monitoring device and early warning method with image recognition functions. Background Art

[0002] When monitoring and warning for icing on overhead lines, a comprehensive assessment of the line's icing condition is typically achieved through the use of tension sensing technology, micro-meteorological monitoring technology, angle sensors, and high-definition video surveillance. While this method can monitor line icing, it requires the entire system to be powered off for installation (assembling the sensors to the line under test requires a power outage), which can affect normal circuit operation. Existing line icing monitoring equipment that does not require power outages has emerged. This system simulates a conductor to produce icing conditions identical to or similar to those on the line under test, and measures changes in icing on the simulated conductor to infer the icing condition of the line under test. This method, which allows for real-time assembly and disassembly without powering off, offers significant practical advantages, particularly in mountainous environments with tight power transmission conditions. Installing monitoring equipment on a tower without power outages allows for relatively flexible assembly and disassembly timing, resulting in strong operational adaptability.

[0003] However, there are uncontrollable factors in inferring the icing status of transmission lines based on the simulated conductor icing status. On the one hand, due to interference from environmental factors, the icing conditions at the simulated conductor (at the pole tower) will be different from the icing conditions at the local overhead line (at the line to be monitored). This difference will be more obvious in environments with obvious terrain differences. On the other hand, the inference depends on the area adjacent to the installation site of the simulated conductor. That is, the closer the distance, the higher the inference accuracy. Conversely, the farther the distance or the blank area where the simulated conductor is installed, the lower the inference accuracy.

[0004] In view of this, this application is hereby filed. Summary of the Invention

[0005] A first object of the present invention is to provide a line icing monitoring device with an image recognition function. The monitoring device can be installed on a tower and infer the icing condition of the line to be monitored by collecting icing condition information of a simulated conductor. The simulated conductor can also adjust its orientation in real time to ensure that it is in a state closer to that of the line to be monitored, thereby ensuring the reliability of the prediction accuracy.

[0006] The second object of the present invention is to provide a line icing monitoring and early warning method with image recognition function. The early warning method uses the above-mentioned monitoring device to determine the difference between the meteorological conditions at each tower and the meteorological conditions at the associated monitored line, and then screens and matches the difference and fills it with the simulated conductor icing monitoring results, so as to more accurately infer the icing status of the appropriate associated monitored line.

[0007] The embodiment of the present invention is achieved as follows:

[0008] In the first aspect, a line ice monitoring device with an image recognition function includes a support frame, a simulated conductor assembly, a first meteorological unit and an image acquisition unit. A controller is installed on the support frame, and the support frame has a mounting portion connected to a pole tower; the simulated conductor assembly includes a wire clamp mechanism and a simulated conductor, the wire clamp mechanism is installed on the support frame, and the wire clamp mechanism is used to clamp the simulated conductor and place the simulated conductor outside the pole tower; the first meteorological unit is installed on the support frame, and the first meteorological unit includes a first temperature and humidity acquisition assembly and a first wind speed and direction acquisition assembly, both of which are communicatively connected to the controller. The component and the first wind speed and direction collection component are respectively used to collect the first temperature and humidity information and the first wind speed and direction information at the tower; the image collection unit is communicatively connected to the controller, and the image collection unit is used to collect and identify the image of at least part of the simulated wire; wherein, the wire clamp mechanism includes a traction clamp, a tension sensor and a clamping and rotating component, the traction clamp is used to clamp and pull the two ends of the simulated wire, the tension sensor is used to detect the tension of the simulated wire at the clamped position, and the clamping and rotating component is used to drive the traction clamp and the simulated wire to rotate synchronously so that the simulated wire maintains the same direction as the line to be monitored.

[0009] In some optional embodiments, a second meteorological unit and a comparison unit are further included, the second meteorological unit is used to collect the second temperature and humidity information and the second wind speed and direction information at the line to be monitored, and send the second temperature and humidity information and the second wind speed and direction information to the comparison unit; the comparison unit is used to obtain the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information and send it to the controller, and the comparison unit is also used to obtain the wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information and send it to the controller.

[0010] In some optional embodiments, a distance measuring unit is further included, which is used to detect the spacing distance information between the line to be monitored and the outside of the tower. The comparison unit is also used to filter all the spacing distance information and send the filtering results to the controller.

[0011] In the second aspect, a line icing monitoring and early warning method with an image recognition function is provided, which uses the above-mentioned line icing monitoring device with an image recognition function. The method includes the following steps: using the first meteorological unit to obtain the first temperature and humidity information and the first wind speed and direction information at any tower, recorded as the first meteorological information, using the second meteorological unit to obtain the second temperature and humidity information and the second wind speed and direction information at the associated line to be monitored, recorded as the second meteorological information, wherein the associated line to be monitored refers to the line to be monitored that is directly connected to the tower; using the comparison unit to obtain the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information to generate a first difference value; using the comparison unit to obtain the first wind speed and direction The first difference value and the second difference value are combined to obtain a difference repair coefficient, and the distance measurement unit is used to obtain the interval distance information between the associated line to be monitored and the tower, and the interval distance information is marked with the corresponding difference repair coefficient to form a difference marking coefficient; the difference marking coefficient is matched for each section of the associated line to be monitored, and the appropriate difference marking coefficient is screened out and assigned to the preliminary icing prediction result of the section of the associated line to be monitored, which is used as the basis for calculating the final icing prediction result; wherein, the preliminary icing prediction result refers to the result of icing detection on the simulated conductor using the image acquisition unit.

[0012] In some optional embodiments, the matching of difference marking coefficients at each section of the associated line to be monitored includes the following steps: identifying the measurement point location information of each section of the associated line to be monitored, obtaining the spacing distance information between different towers based on the measurement point location information, sorting all the obtained spacing distance information to obtain a spacing distance sequence, and determining and screening the difference marking coefficient according to the priority of the spacing distance information in the spacing distance sequence.

[0013] In some optional implementations, if there is multiple measuring point location information for each section of the associated line to be monitored, an interval distance sequence is obtained based on each measuring point location information, a key interval distance sequence is determined from the multiple interval distance sequences, and the difference marking coefficient is determined and screened based on the priority of the interval distance information within the key interval distance sequence.

[0014] In some optional implementations, an interval distance sequence is obtained based on each measuring point location information, and determining a key interval distance sequence from multiple interval distance sequences includes the following steps: obtaining the second meteorological information of each measuring point location information, performing similarity comparisons with the first meteorological information of different towers one by one based on the interval distance sequence corresponding to the measuring point location information, obtaining multiple meteorological comparison results, merging all the meteorological comparison results to obtain the meteorological similarity value corresponding to the measuring point location information, and selecting the interval distance sequence corresponding to the measuring point location information with the highest meteorological similarity value as the key interval distance sequence.

[0015] In some optional embodiments, the second meteorological information of each measuring point location information is obtained, and the similarity comparison is performed one by one with the first meteorological information of different towers according to the interval distance sequence corresponding to the measuring point location information, including the following steps: comparing the second meteorological information with each first meteorological information one by one, and determining the first difference value and the second difference value between the second meteorological information and the single first meteorological information obtained by the comparison unit; calculating the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient, merging the temperature and humidity difference dynamic coefficient with the first difference value to obtain the temperature and humidity difference value, and merging the wind speed and direction difference dynamic coefficient with the second difference value to obtain the wind speed and direction difference value; and calculating the similarity between the second meteorological information and the first meteorological information based on the temperature and humidity difference value and the wind speed and direction difference value.

[0016] In some optional embodiments, the calculation of the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference includes the following steps: obtaining a temperature and humidity gradient distribution map and a wind speed and direction gradient distribution map of the corresponding section of the line to be monitored; obtaining the temperature and humidity display value of the measuring point location information based on the temperature and humidity gradient distribution map, and obtaining the wind speed and direction display value of the measuring point location information based on the wind speed and direction gradient distribution map; calculating the dynamic coefficient of temperature and humidity difference using the temperature and humidity display value and the measured second temperature and humidity information, and calculating the dynamic coefficient of wind speed and direction difference using the wind speed and direction display value and the measured second wind speed and direction information; wherein, the temperature and humidity gradient distribution map refers to a distribution map that numerically displays the temperature and humidity segments according to the direction of the associated line to be monitored, and the wind speed and direction gradient distribution map refers to a distribution map that numerically displays the wind speed and direction segments according to the direction of the associated line to be monitored.

[0017] In some optional embodiments, the step of updating the temperature and humidity gradient distribution diagram and the wind speed and direction gradient distribution diagram is also included: the temperature and humidity display values are updated according to the measured second temperature and humidity information, and the wind speed and direction display values are updated according to the measured second wind speed and direction information.

[0018] The beneficial effects of the embodiments of the present invention are:

[0019] The line icing monitoring device with image recognition function provided by the embodiment of the present invention can reduce the excessive difference in environmental conditions caused by the obstruction of the tower by installing the simulated conductor on the outside of the tower, and pull the simulated conductor through the wire clamp mechanism to make it maintain a vertical state as close as possible to the line to be monitored, and then adjust the orientation position through the clamping and rotating component to make it maintain the same orientation as the line to be detected, thereby ensuring that the physical environmental state of the simulated conductor is highly adapted to the physical environmental state of the line to be monitored. Finally, when using the image recognition unit to predict the icing state of the simulated conductor, higher accuracy can be guaranteed. At the same time, by using the meteorological unit to monitor the meteorological parameters, it can be determined whether the meteorological parameters at the tower are accurate and whether they match the meteorological parameters of the line to be monitored, thereby assisting in determining the accuracy of the image recognition result of the icing state.

[0020] The line icing monitoring and early warning method with image recognition function provided by the embodiment of the present invention uses the above-mentioned icing monitoring device to obtain the first meteorological information of the tower and the second meteorological information of the associated line to be monitored, and obtains the difference repair coefficient by comparing the difference between the two. The difference repair coefficient represents the meteorological difference between the two measuring points. When the image recognition is performed on the simulated wire to detect the icing state, the difference repair coefficient is combined, which can largely restore the icing state of the associated line to be monitored, thereby achieving higher prediction accuracy; on this basis, for the case where the associated line to be monitored is connected to different towers, the above-mentioned difference repair coefficient can be further screened and matched, and the more appropriate difference repair coefficients, especially those with closer distances, can be combined for prediction, thereby addressing the problem of icing prediction accuracy for overhead lines that are relatively far away;

[0021] In general, the line icing monitoring device and early warning method with image recognition function provided by the embodiments of the present invention can use simulated conductor icing monitoring to infer the icing status of adjacent overhead lines. On this basis, the problem of difference in inference accuracy caused by the difference in meteorological environment between the two is taken into account, and the use of the proximity principle to select suitable simulated conductors to infer long-distance overhead lines is also considered, thereby ensuring a higher-precision icing status early warning result without power outage. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 A schematic diagram of the top view of the ice monitoring device provided in an embodiment of the present invention;

[0024] Figure 2 A flowchart of the main steps of the monitoring and early warning method provided by an embodiment of the present invention;

[0025] Figure 3 for Figure 2 A flow chart of step S400, one of the main steps shown;

[0026] Figure 4 for Figure 3 Flowchart of sub-step S420 of step S400 shown;

[0027] Figure 5 for Figure 4 Flowchart of sub-step S422 of sub-step S420 shown;

[0028] Figure 6 for Figure 5 Flowchart of sub-step S4222 of sub-step S422 is shown.

[0029] Icons: 1-support frame; 2-simulation wire; 3-clamp mechanism; 4-first meteorological unit; 5-controller; 6-image acquisition unit; 31-clamping rotation assembly; 32-traction chuck. DETAILED DESCRIPTION

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0031] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0032] Flowcharts are used in the present invention to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps may be processed in reverse order or simultaneously. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0033] Example: When using an image recognition monitoring system to predict icing on overhead lines in mountainous areas, there will be a problem of power outages when installing sensors and clamping components, which will affect normal power consumption. To address this problem, we used simulated wires made of the same material or similar height as the overhead lines to install on the towers. The installation height is consistent with the overhead lines, so the icing status of the simulated wires can be used to infer the icing status of the overhead lines. This method can be used to operate without power outages and can adapt to the characteristics of mountainous environments where frequent changes in monitoring locations are required. That is, it can be disassembled and installed on different towers in real time without affecting normal power supply. In the practice of the aforementioned simulated icing inference mode, we found that, on the one hand, depending on the length of the overhead line, its sag after icing is in a continuous changing process, and the sag change of the simulated conductor cannot match, which will affect the final result of ice thickness calculation achieved by tension and angle sensors, resulting in the problem of low final prediction accuracy. Therefore, the object presentation state of the simulated conductor needs to be consistent with the presentation state of the overhead line to ensure higher prediction accuracy; on the other hand, since there is a certain distance between the overhead line and the pole tower, the greater the distance, the greater the difference in meteorological conditions at the two points, especially in mountainous environments. Considering that micro-topography will affect the micro-meteorology, this difference will be more obvious. Therefore, it is necessary to consider compensating the meteorological parameters at the pole tower with the meteorological parameters at the line to be monitored, so as to reduce the difference caused by distance.

[0034] Therefore, in response to the above problems, we proposed a line icing monitoring device with image recognition function. The device has the function of monitoring the icing of simulated conductors and the function of real-time regulation of simulated conductors. It can control itself and be in a physical state that is more consistent with the overhead lines. At the same time, we also proposed a line icing monitoring and early warning method with image recognition function. This method can consider the compensation coefficient of meteorological differences when inferring the icing difference between the tower and the line to be monitored, so as to make corrections on the final icing detection result of the simulated conductor to obtain an icing prediction result closer to the line to be monitored. At the same time, it also considers which tower to select for the simulation of the conductor for inference for different lines to be monitored, ensuring relatively accurate icing early warning operations in the monitoring line area where the monitoring device is installed far away or is relatively blank.

[0035] Please refer to the following for details: Figure 1 , a line icing monitoring device with image recognition function provided in this embodiment includes a support frame 1, an analog conductor assembly, a first meteorological unit 4 and an image acquisition unit 6. A controller 5 is installed on the support frame 1. The controller 5 serves as the first central control center in the field and is used for data pre-processing calculations. The support frame 1 has a mounting portion connected to the pole tower. The mounting portion can be a snap-in groove, a plug-in protrusion, a threaded connector, etc., for the purpose of convenient disassembly and assembly with the pole tower truss.

[0036] The simulated conductor assembly includes a wire clamp mechanism 3 and a simulated conductor 2. The wire clamp mechanism is installed on the support frame 1 and can form a stable connection with the support frame 1. The wire clamp mechanism 3 is used to clamp the simulated conductor 2 and place the simulated conductor 2 on the outside of the pole tower, which means that one part of the wire clamp mechanism 3 is connected to the support frame 1, and the other part is connected to the simulated conductor 2, and can make the simulated conductor 2 extend outward to the area outside the pole tower, so that the subsequent simulated conductor 2 reduces environmental shielding and approaches the environmental conditions of the overhead line.

[0037] The first meteorological unit 4 is mounted on the support frame 1 and is capable of effectively sensing environmental parameters. Specifically, the first meteorological unit 4 includes a first temperature and humidity acquisition component and a first wind speed and direction acquisition component, both of which are communicatively connected to the controller 5. The first temperature and humidity acquisition component and the first wind speed and direction acquisition component are respectively configured to acquire first temperature and humidity information and first wind speed and direction information at the tower, thereby enabling real-time acquisition of temperature, humidity, wind speed and direction data at the tower and transmitting it to the controller 5 for further analysis. The image acquisition unit 6 is communicatively connected to the controller 5 and is configured to capture and recognize an image of at least a portion of the simulated conductor 2, thereby enabling preliminary analysis of the icing status of the simulated conductor using image recognition technology to determine the ice thickness and provide a preliminary warning.

[0038] The above technical solution can use the icing status of a simulated conductor to infer the icing status of an overhead line (the line to be monitored). This allows for icing prediction of overhead lines in adjacent areas, even when installed at a designated and appropriate tower without power interruption, resulting in a highly practical and convenient solution. Furthermore, since the icing status of the overhead line is estimated based on simulated conductor 2, in addition to requiring the simulated conductor 2 to be made of the same or similar material as the overhead line, its physical properties, such as sag, tension, and orientation, must also be the same or similar.

[0039] Specifically, the wire clamp mechanism 3 includes a traction clamp 32, a tension sensor and a clamping rotation assembly 31. The traction clamp 32 is used to clamp and pull the two ends of the simulated conductor 2, that is, on the one hand, the (two) traction clamps 32 are used to clamp the (two) ends of the simulated conductor 2 to stably clamp the simulated conductor 2; on the other hand, the (two) traction clamps 32 are used to pull (pull) the (two) ends of the simulated conductor 2 so that the simulated conductor 2 reaches the specified tension and maintains a matching sag, thereby being consistent with the tension and sag state of the overhead line.

[0040] The tension sensor is used to detect the tension applied to the clamped portion of the simulated conductor 2 to ensure that a specified traction clamping state is achieved between the traction clamp 32 and the simulated conductor 2. Furthermore, the clamping rotation assembly 31 is used to drive the traction clamp 32 and the simulated conductor 2 to rotate synchronously, so that the simulated conductor 2 maintains the same orientation as the line to be monitored (overhead line). Specifically, the clamping rotation assembly 31 includes a fixed portion and a rotating portion, one of which is connected to the support frame 1, and the other is connected to the entire assembly consisting of the traction clamp 32 and the simulated conductor 2 (e.g., via a bracket). The rotation control portion of the clamping rotation assembly 31 is communicatively connected to the controller 5, thereby enabling the rotational position (generally horizontal rotation) of the traction clamp 32 and the simulated conductor 2 to be aligned with the orientation of the line to be monitored in real time.

[0041] Through the above technical solution, the simulated conductor assembly, the first meteorological unit 4 and the image acquisition unit 6 work together and can be installed on the power tower without power outage, so as to conduct real-time monitoring and early warning of the icing condition of the adjacent overhead lines. The simulated conductor 2 with a material and physical state (such as sag, tension, and orientation) similar to the actual overhead line is used to simulate the real icing process, and the ice thickness is preliminarily analyzed through image recognition technology. At the same time, the traction clamp 32 in the wire clamp mechanism 3 ensures the appropriate tension and sag of the simulated conductor 2, while the clamping and rotating assembly 31 ensures that the simulated conductor 2 maintains the same orientation as the line to be monitored, and cooperates with the first meteorological unit 4 to collect environmental parameters in real time, providing more accurate data support for icing prediction, thereby realizing uninterrupted installation and effective monitoring of the icing status of the overhead line, and improving the practicality and convenience of icing early warning.

[0042] On the basis of the above technical solution, the icing state of the line to be monitored can be inferred by simulating the icing state of the conductor 2. In this process, since the tower (where the simulated conductor 2 is located) and the line to be monitored (a local part of the overhead line) are separated by a certain distance, their meteorological environmental conditions are different. Therefore, when making icing predictions at the line to be monitored, it is necessary to compensate for the meteorological environmental differences at the two points in order to improve the accuracy of icing inference of the simulated conductor 2.

[0043] That is, the line icing monitoring device with image recognition function also includes a second meteorological unit and a comparison unit. The second meteorological unit is used to collect the second temperature and humidity information and the second wind speed and direction information at the line to be monitored, and send the second temperature and humidity information and the second wind speed and direction information to the comparison unit; that is, it also includes a second meteorological unit for collecting meteorological information at the line to be monitored. The second meteorological unit can be a mobile measuring point, for example, a drone carrying a meteorological sensor is temporarily docked at the line to be monitored to collect meteorological parameters. The purpose is to collect the meteorological parameters at this location and send them to the comparison unit for further difference analysis. Furthermore, the comparison unit is used to obtain the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information and send it to the controller 5, and the comparison unit is also used to obtain the wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information and send it to the controller 5, which means that the comparison unit compares the first temperature and humidity information at the pole tower with the second temperature and humidity information at the line to be monitored to obtain the temperature and humidity difference information, and then sends it to the controller 5 for further analysis. At the same time, the comparison unit also compares the first wind speed and direction information at the pole tower with the second wind speed and direction information at the line to be monitored to obtain the wind speed and direction difference information, and then sends it to the controller 5 for further analysis.

[0044] Through the above technical solution, the second meteorological unit and the comparison unit are introduced to compensate for the difference in meteorological environment between the location of the simulated conductor 2 (at the pole tower) and the overhead line to be monitored. The comparison unit is used to compare the data collected by the first meteorological unit 4 at the pole tower with the data collected by the second meteorological unit at the line to be monitored, and the temperature and humidity difference information and wind speed and direction difference information between the two are calculated. This difference information is then sent to the controller 5. The controller can more accurately adjust the prediction model based on the icing state of the simulated conductor 2 to take into account the environmental differences between the two points, thereby improving the accuracy of the icing prediction and ensuring a more reliable assessment of the icing state of the overhead line.

[0045] Taking into account the compensation issue of the impact of meteorological environment differences between the pole tower and the line to be monitored on the accuracy of the prediction results, it is also necessary to consider whether the difference compensation at the pole tower is applicable to the line to be monitored. This is because the line to be monitored connects at least two pole towers, and the connected pole towers are not necessarily equipped with the above-mentioned line icing monitoring device with image recognition function, or the pole tower with the line icing monitoring device with image recognition function is installed is far away from the line to be monitored (measuring point). In this case, it is necessary to consider which pole tower (with the line icing monitoring device installed) has the difference compensation applicable to the target line to be monitored (measuring point).

[0046] To address the above-mentioned problem, the line icing monitoring device with image recognition function also includes a distance measuring unit, which is used to detect the spacing distance information between the line to be monitored and the outside of the tower. The distance measuring unit can be a fixed measuring point installed on the outside of the tower, or a temporary measuring point parked at the line to be monitored (carried by a drone). The purpose is to obtain the distance information between the two and then send it to the comparison unit for further analysis. That is, the comparison unit is also used to filter all the spacing distance information and send the filtering result to the controller 5, indicating that the comparison unit can obtain the spacing distance between the line to be monitored and different towers (installed with line icing monitoring devices), and filter out suitable spacing distance information after comparing these spacing distances and send it to the controller 5. The controller 5 executes the difference compensation at which tower and combines it with the simulated conductor 2 icing detection result at that location to predict the icing information of the above-mentioned line to be monitored.

[0047] Through the above technical solution, a distance measurement unit and optimized comparison unit logic are introduced to solve the problem of how to select the most suitable meteorological difference compensation data when the line to be monitored is connected to multiple towers and not all towers are equipped with icing monitoring devices. That is, the distance between the line to be monitored and the towers with installed monitoring devices is measured by the distance measurement unit, and this distance information is sent to the comparison unit for analysis and screening. For example, the tower closest to the line to be monitored is determined to ensure that its meteorological difference compensation data is the most representative. The icing status of the simulated conductor 2 and the meteorological difference compensation data selected here can more accurately predict the icing condition of the line to be monitored.

[0048] This embodiment also provides a line icing monitoring and early warning method with image recognition function, which applies the line icing monitoring device with image recognition function of the above embodiment. For details, please refer to Figure 2 The line icing monitoring and early warning method with image recognition function includes the following steps:

[0049] S100: Use the first meteorological unit 4 to obtain the first temperature and humidity information and the first wind speed and direction information at any tower, which is recorded as the first meteorological information. Use the second meteorological unit to obtain the second temperature and humidity information and the second wind speed and direction information at the associated line to be monitored, which is recorded as the second meteorological information. The associated line to be monitored refers to the line to be monitored that is directly connected to the tower. This step indicates that when performing icing warnings for different lines to be monitored, it is necessary to collect meteorological information at the tower and the line to be monitored. The line to be monitored and the tower are associated, that is, the tower is directly connected to the line to be monitored (recorded as the associated line to be monitored), and then obtain the first meteorological information (including the first temperature and humidity information and the first wind speed and direction information) at the tower and the second meteorological information (including the second temperature and humidity information and the second wind speed and direction information) at the associated line to be monitored.

[0050] S200: Use the comparison unit to obtain the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information to generate a first difference value; use the comparison unit to obtain the wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information to generate a second difference value; this step indicates that after the above-mentioned first meteorological information and the second meteorological information are sent to the comparison unit, the comparison unit is used for comparison and analysis, and the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information is calculated, and the temperature and humidity difference information is digitized to obtain the first difference value. At the same time, the wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information is also calculated, and the wind speed and direction difference information is digitized to obtain the second difference value, where the first difference value and the second difference value respectively represent the temperature difference value, humidity difference value and wind speed difference value, and wind direction difference value at the two points.

[0051] S300: The first difference value and the second difference value are combined to obtain a difference repair coefficient, and the distance measurement unit is used to obtain the interval distance information between the associated monitored line and the tower, and the interval distance information is marked on the corresponding difference repair coefficient to form a difference marking coefficient; this step indicates that the meteorological difference is obtained by comprehensively calculating the first difference value and the second difference value obtained above, that is, the first difference value and the second difference value are combined. The merging method can be direct summation and product, or weighted summation and product. Then, the difference repair coefficient is obtained. The difference repair coefficient is used to characterize the difference in meteorological parameters between the tower and the associated monitored line. When it is used for subsequent icing prediction, the difference repair coefficient needs to be taken into consideration (that is, the difference repair coefficient is assigned to the icing prediction result of the simulated conductor 2 for speculation).

[0052] In addition, on the basis of obtaining the difference repair coefficient, it is also necessary to consider the distance between the pole tower and the associated line to be monitored, so as to facilitate the subsequent matching operation of the difference repair coefficient at the nearest distance, that is, use the ranging unit to obtain the interval distance information between the associated line to be monitored and the pole tower, and the interval distance information is used as an identification mark to assign the difference repair coefficient (for example, the difference repair coefficient is assigned a corner mark) to form a difference marking coefficient.

[0053] S400: Matching differential marking coefficients is performed on each section of the associated line to be monitored, selecting a suitable differential marking coefficient and assigning it to a preliminary icing prediction result for that section of the associated line to be monitored, which serves as the basis for calculating the final icing prediction result. The preliminary icing prediction result refers to the result of icing detection on the simulated conductor using the image acquisition unit 6. This step involves selecting differential marking coefficients at nearby towers based on the associated line to be monitored, i.e., matching the differential marking coefficients calculated for towers equipped with icing monitoring devices. Once the suitable differential marking coefficients are obtained, icing prediction is directly performed. This involves dynamically combining the results of icing detection on the simulated conductor 2 (via the image acquisition unit 6) and assigning differential marking coefficients (primarily differential repair coefficients) to dynamically estimate icing on the associated line to be monitored, based on the time-varying icing detection state of the simulated conductor 2. It should be noted that once the difference repair coefficient is calculated, it can be used in the subsequent dynamic icing prediction process, that is, the difference repair coefficient is compensated and combined according to the corresponding meteorological parameters in the icing status detection model of the simulated conductor 2, and then input into the model to obtain the icing detection result as the icing inference result of the associated monitored line.

[0054] Through the above technical solution, the difference repair coefficient between the meteorological conditions at the tower and its associated monitored line is obtained in advance, which can be used at any time for calculation in the subsequent dynamic icing inference process, and the difference marking coefficient is formed by combining the interval distance information with the difference repair coefficient. When icing prediction is performed at different associated monitored lines, the appropriate difference marking coefficient can be matched quickly and conveniently for icing compensation inference, that is, this difference marking coefficient is applied to the icing detection result of the nearest simulated conductor 2, and the icing prediction model is dynamically adjusted to achieve accurate icing prediction at the associated monitored line. This can not only improve the accuracy of icing warning, but also can be quickly and stably applied to subsequent icing compensation inference through the difference repair coefficient obtained in advance, thereby achieving higher prediction convenience.

[0055] In this embodiment, the difference marking coefficient can be matched according to the principle of proximity, that is, the difference repair coefficient (formed difference marking coefficient) is calculated based on the nearest tower to the associated monitored line for subsequent ice coverage estimation. Figure 3 The step of matching the difference marker coefficients at each section of the associated monitored line includes the following steps:

[0056] S410: Identify the location information of the measuring points of each section of the associated monitored line, and obtain the distance information between different towers based on the location information of the measuring points. This step indicates the location identification of the ice detection points of the associated monitored line section for which icing prediction is required, that is, identifying and locating the specific location information of the measuring points. With the coordinates of the measuring points, the distance information between the measuring points and different towers can be obtained (the specific method can be measured in advance by the distance measurement unit mentioned above, and the distance information can be directly called according to the target measuring point location information).

[0057] S420: Sort all the obtained interval distance information to obtain an interval distance sequence, and determine and filter the difference marking coefficient according to the priority of the interval distance information in the interval distance sequence; this step means sorting all the obtained interval distance information by size to form an interval distance sequence, and according to the interval distance sequence, the tower corresponding to the interval distance information with the highest priority (such as the shortest distance, of course, in different scenarios, it can be a straight-line distance or a routing distance) can be intuitively obtained. Here, the difference repair coefficient of the tower obtained in advance is used as the ice coverage estimation compensation coefficient of the measuring point position.

[0058] Through the above technical solution, the locations of ice detection points on the associated monitored line sections are identified, and the distance information between (these) measurement points and the surrounding towers is calculated. Then, all the distances are sorted according to the distance. On this basis, the difference repair coefficient corresponding to the nearest tower can be selected as the compensation coefficient for ice estimation, which is applied to subsequent ice predictions. That is, the difference marking coefficients are matched using the proximity principle to achieve more accurate ice predictions.

[0059] Based on the above technical solution, if there is only one measuring point (for each section of the associated line to be monitored), the difference marking coefficient can be prioritized by generating a set of interval distance sequences; if there are multiple measuring points, it is necessary to consider which of the same tower's difference marking coefficients these measuring points best match, including the following two situations: first, all measuring points match the same tower; second, different measuring points match different towers (for example, some measuring points match one tower, and other measuring points match another tower). For the above situations, if the difference marking coefficients matching different measuring points are selected separately, multiple icing inference results will exist for this section of the associated line to be monitored. On the one hand, the complexity of the icing prediction calculation for this section of the associated line to be monitored is increased, and on the other hand, a unified difference marking coefficient cannot be used for representation, resulting in a lack of consistency in the icing inference results.

[0060] To address the aforementioned problem, this embodiment selects a representative tower for subsequent icing estimation in the case of multiple measuring points. Specifically, if there is multiple measuring point location information for each section of the associated line to be monitored, an interval distance sequence is obtained based on each measuring point location information. That is, the above-mentioned interval distance sequence generation method is used to obtain an interval distance sequence for each measuring point location information. Then, a key interval distance sequence is determined from the multiple interval distance sequences, and the difference marking coefficient is determined and selected based on the priority of the interval distance information within the key interval distance sequence. That is, the most suitable interval distance sequence is selected from all interval distance sequences as the key interval distance sequence, so that the difference marking coefficient corresponding to the interval distance information with the highest priority in the key interval distance sequence is obtained and used for icing estimation of the section of the associated line to be monitored.

[0061] Through the above technical solution, for the associated monitored lines with multiple measuring points, a distance sequence is generated for each measuring point, and a key distance sequence is determined from it to select the most representative tower difference marker coefficient to ensure the consistency and accuracy of ice cover prediction. On this basis, the key distance sequence can be the one with the highest similarity between the meteorological parameters of multiple measuring points and the same tower. For details, please refer to Figure 4 , obtaining an interval distance sequence according to the position information of each measuring point, and determining the key interval distance sequence from multiple interval distance sequences includes the following steps:

[0062] S421: Obtain the second meteorological information of each measuring point location information. This step indicates that the second meteorological information is collected for each measuring point location, and then step S422 is performed: based on the interval distance sequence corresponding to the measuring point location information, similarity comparison is performed one by one with the first meteorological information of different towers to obtain multiple meteorological comparison results. This step indicates that for each measuring point, the obtained interval distance sequence contains multiple corresponding towers, and then similarity comparison is performed one by one with the first meteorological information collected from each tower to determine the meteorological difference with each tower, thereby obtaining multiple meteorological comparison results.

[0063] S423: All meteorological comparison results are merged to obtain a meteorological similarity value corresponding to the measuring point location information. This step indicates that all meteorological comparison results for the measuring point are obtained in step S422, and then these meteorological comparison results are merged, such as by merging means such as mean merging or weighted mean merging, to obtain a meteorological similarity value corresponding to the measuring point location information. Then, step S424: The interval distance sequence corresponding to the measuring point location information with the highest meteorological similarity value is selected as the key interval distance sequence. This step indicates that the meteorological similarity value is calculated for the measuring point, and the meteorological similarity value represents the meteorological similarity between the measuring point and the different connected towers. The measuring point location information with the highest meteorological similarity value is selected, and the interval distance sequence generated therefrom is selected as the key interval distance sequence. Finally, step S425: The difference marking coefficient is determined and selected based on the priority of the interval distance information within the key interval distance sequence. In other words, the difference marking coefficient is selected based on the selected key interval distance sequence.

[0064] Through the above technical solution, an interval distance sequence is generated for each measuring point, and combined with the similarity comparison of meteorological parameters between different towers, the key interval distance sequence that is most similar to the first meteorological information of different towers is screened out to select the most representative tower difference marking coefficient to participate in the icing prediction of the associated monitored lines in the multi-measuring point scenario. This method not only ensures the consistency and accuracy of icing prediction, but also further improves the accuracy and reliability of icing prediction by considering the similarity of meteorological conditions between the measuring point and the tower. It should be noted that the second meteorological information of the measuring point location can be obtained for the first time to realize the screening of appropriate difference marking coefficients. Once the difference marking coefficient corresponding to each associated monitored line is determined, the difference marking coefficient can be directly used to predict the icing warning operation in the future. If the difference marking coefficient or the difference marking coefficient matching method needs to be updated later, the principle of the above steps can be used to operate again.

[0065] When performing the above similarity comparison, it is mainly based on the difference in meteorological parameters, including temperature and humidity parameters, wind speed and direction parameters, which are the main parameters affecting ice formation. The temperature and humidity parameters and wind speed and direction parameters can be collected by the meteorological unit, or the difference between two points can be directly obtained by the comparison unit. In principle, the farther the two points are from each other, the greater the difference in meteorological parameters. Based on this, the interval distance sequence generated by the measuring point closest to all towers is finally selected as the key interval distance sequence. On this basis, in addition to the distance optimization principle, it is also necessary to further consider the similarity of actual meteorological parameters, so as to comprehensively consider the two aspects and select the interval distance sequence at the more suitable measuring point. For details, please refer to Figure 5The step of obtaining the second meteorological information of each measuring point location information and performing similarity comparison with the first meteorological information of different towers one by one according to the interval distance sequence corresponding to the measuring point location information comprises the following steps:

[0066] S4221: Compare the second meteorological information with each first meteorological information one by one, and determine the first difference value and the second difference value between the second meteorological information and the single first meteorological information obtained by the comparison unit; this step indicates that when comparing the meteorological parameter differences between the measuring point and different towers, it is necessary to compare the second meteorological information with each first meteorological information one by one, and then determine the first difference value and the second difference value between the second meteorological information and each first meteorological information obtained by the comparison unit, and respectively obtain the first difference value and the second difference value between each first meteorological information and the same second meteorological information, which is the actual meteorological (temperature, humidity, wind speed and direction) difference.

[0067] S4222: Calculate the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient, combine the temperature and humidity difference dynamic coefficient with the first difference value to obtain the temperature and humidity difference value, and combine the wind speed and direction difference dynamic coefficient with the second difference value to obtain the wind speed and direction difference value. This step represents a compensation calculation that considers the greater the difference, the longer the distance, under actual meteorological differences. That is, the greater the distance, the greater the compensation coefficient, so that both distance and actual meteorological information can be taken into account in subsequent similarity comparisons. By calculating the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient as compensation, the temperature and humidity difference dynamic coefficient is combined with the first difference value to compensate and obtain the temperature and humidity difference value, and the wind speed and direction difference dynamic coefficient is combined with the second difference value to compensate and obtain the wind speed and direction difference value, and finally participates in the subsequent similarity comparison calculations.

[0068] S4223: Calculate the similarity between the second meteorological information and the first meteorological information based on the temperature and humidity difference value and the wind speed and direction difference value. This step uses the temperature and humidity difference value and the wind speed and direction difference value obtained from the combined calculation to characterize the similarity between the second meteorological information and the first meteorological information, thereby serving as the basis for calculating the meteorological similarity value. This difference compensation is performed under the premise that the closer the distance, the smaller the meteorological difference. Both distance and actual meteorological differences are considered to select the key interval distance sequence.

[0069] Through the above technical solution, the second meteorological information of each measuring point is compared with the first meteorological information of each tower one by one, the actual difference values of temperature, humidity, wind speed and direction are calculated, and a distance compensation mechanism (i.e., the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference) is introduced to comprehensively consider the influence of distance and actual meteorological parameters on ice formation. When selecting the key interval distance sequence, not only the principle of the closest distance is given priority, but also the similarity of meteorological parameters is further considered, ensuring the rationality of the actual meteorological similarity comparison between the selected measuring points and the towers.

[0070] Based on the above technical solutions, the dynamic coefficients of temperature and humidity difference and wind speed and direction difference are generally theoretical values. According to the change of terrain distance, the change of theoretical meteorological parameters is obtained. When the theoretical meteorological parameters are compensated in the actual similarity comparison, a more realistic meteorological parameter similarity comparison can be obtained. For details, please refer to Figure 6 The calculation of the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient includes the following steps:

[0071] S42221: Obtain the temperature and humidity gradient distribution map and wind speed and direction gradient distribution map of the corresponding section of the associated line to be monitored; wherein, the temperature and humidity gradient distribution map refers to a distribution map that numerically displays the temperature and humidity in sections according to the direction of the associated line to be monitored, and the wind speed and direction gradient distribution map refers to a distribution map that numerically displays the wind speed and direction in sections according to the direction of the associated line to be monitored; this step means using meteorological survey technology to obtain in advance the gradient distribution of temperature and humidity parameters and the gradient distribution of wind speed and direction of the corresponding section of the associated line to be monitored, that is, using a large range of meteorological sensing technology (mainly used for meteorological parameter prediction in a large area) to detect the gradient distribution of meteorological parameters along the direction of the associated line to be monitored, wherein the gradient The degree is selected according to the detection accuracy, and is mainly used to display the changing values of temperature and humidity parameters and wind speed and direction along the line, so as to facilitate the subsequent step S42222: based on the temperature and humidity gradient distribution map, the temperature and humidity display values of the measuring point location information are obtained, and based on the wind speed and direction gradient distribution map, the wind speed and direction display values of the measuring point location information are obtained; this step represents the use of the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map obtained in the above steps to directly obtain the temperature and humidity display values and wind speed and direction display values represented at the location of the measuring point. It should be noted that the temperature and humidity display values and wind speed and direction display values are theoretical values obtained by prior multi-point measurements and inferred calculations, thereby forming a gradient distribution map.

[0072] S42223: Calculate the temperature and humidity difference dynamic coefficient using the temperature and humidity display value and the measured second temperature and humidity information, and calculate the wind speed and direction difference dynamic coefficient using the wind speed and direction display value and the measured second wind speed and direction information; this step indicates calculating the temperature and humidity difference dynamic coefficient by the difference between the temperature and humidity display value and the measured second temperature and humidity information (the second temperature and humidity information corresponding to the measuring point location information), that is, the difference between the actual measured value and the relative theoretical value is used as the temperature and humidity difference dynamic coefficient. Similarly, the wind speed and direction difference dynamic coefficient is calculated using the wind speed and direction display value and the measured second wind speed and direction information, so that the difference obtained between the actual performance value and the theoretical value is used as the compensation value (temperature and humidity difference dynamic coefficient and wind speed and direction difference dynamic coefficient), which is used as the calculation compensation basis that should be considered in the above-mentioned similarity comparison.

[0073] On the basis of the above technical scheme, taking into account that the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map are initially formed based on large-scale meteorological sensing detection technology, their detection accuracy varies depending on the detection means at the time. If the key interval distance sequence is screened again in the future, the display accuracy of the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map will be reduced, affecting the acquisition accuracy of the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient, thereby causing insufficient accuracy during similarity comparison. Therefore, when calculating the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient, the step of updating the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map is also included: the temperature and humidity display value is updated according to the measured second temperature and humidity information, and the wind speed and direction display value is updated according to the measured second wind speed and direction information. This step indicates that the previous temperature and humidity display value and wind speed and direction display value are updated according to the second temperature and humidity information and the second wind speed and direction information of the subsequent measuring points to obtain the meteorological parameter display value in the latest state, so as to adapt to the dynamic change process.

[0074] Through the above technical solution, temperature and humidity gradient distribution maps and wind speed and direction gradient distribution maps are constructed. Combined with the measured second meteorological information (temperature and humidity and wind speed and direction), the temperature and humidity difference dynamic coefficients and wind speed and direction difference dynamic coefficients are calculated to compensate for the difference between the theoretical value and the actual value. The humidity gradient distribution map and the wind speed and direction gradient distribution map are updated using the latest measured data. This not only takes into account the impact of terrain distance on meteorological parameters, but also ensures data accuracy by updating the gradient distribution map in real time, thereby improving the authenticity and reliability of meteorological similarity comparison in icing prediction.

[0075] The line icing monitoring and early warning method with image recognition function provided in this embodiment is to use the initial actual meteorological detection results (at the pole tower and the monitoring point of the line to be monitored) to obtain the difference repair coefficient, so that it can be directly used for the estimation and calculation of the icing situation at a certain monitoring point of the line to be monitored at different times. It belongs to a mode in which the early detection results are comprehensive and accurate to ensure the accuracy of the subsequent prediction and calculation results. In addition, the screening and reasonable determination mechanism of the difference repair coefficient are also considered within this mode to avoid the problem of insufficient matching accuracy of the difference repair coefficient resulting in inaccurate icing prediction results at the line measuring point, thereby ensuring the reliability of the entire icing simulation and estimation mode.

[0076] Obviously, those skilled in the art may make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.

Claims

1. A line icing monitoring and early warning method with image recognition function, characterized in that: A line ice monitoring device with an image recognition function is used, the device comprising: A support frame, on which a controller is mounted, and the support frame has a mounting portion connected to a tower; A simulated conductor assembly, comprising a wire clamp mechanism and a simulated conductor, wherein the wire clamp mechanism is mounted on the support frame and is used to clamp the simulated conductor and place the simulated conductor outside the tower; A first meteorological unit, the first meteorological unit being mounted on the support frame, the first meteorological unit comprising a first temperature and humidity collection component and a first wind speed and direction collection component, both of which are communicatively connected to the controller, the first temperature and humidity collection component and the first wind speed and direction collection component being used to collect first temperature and humidity information and first wind speed and direction information at the tower, respectively; an image acquisition unit, the image acquisition unit being communicatively connected to the controller and configured to acquire and recognize at least a portion of an image of the simulated wire; The wire clamp mechanism includes a pulling clamp, a tension sensor, and a clamping and rotating assembly. The pulling clamp is used to clamp and pull the two ends of the simulated wire. The tension sensor is used to detect the tension of the simulated wire at the clamped position. The clamping and rotating assembly is used to drive the pulling clamp and the simulated wire to rotate synchronously so that the simulated wire maintains the same orientation as the line to be monitored. The system further includes a second meteorological unit and a comparison unit, wherein the second meteorological unit is configured to collect second temperature and humidity information and second wind speed and direction information at the line to be monitored, and send the second temperature and humidity information and the second wind speed and direction information to the comparison unit; the comparison unit is configured to obtain temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information and send the information to the controller, and the comparison unit is further configured to obtain wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information and send the information to the controller; The controller further includes a distance measuring unit configured to detect the distance between the line to be monitored and the outer side of the tower, and the comparison unit configured to filter all the distance information and send the filter result to the controller; The method comprises the following steps: Using the first meteorological unit to obtain first temperature and humidity information and first wind speed and direction information at any tower, recorded as first meteorological information; using the second meteorological unit to obtain second temperature and humidity information and second wind speed and direction information at an associated line to be monitored, recorded as second meteorological information, wherein the associated line to be monitored refers to a line to be monitored that is directly connected to the tower; Using the comparison unit to obtain temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information, and generate a first difference value; using the comparison unit to obtain wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information, and generate a second difference value; Combining the first difference value and the second difference value to obtain a difference repair coefficient, using the distance measuring unit to obtain the spacing distance information between the associated monitored line and the tower, marking the spacing distance information with the corresponding difference repair coefficient to form a difference marking coefficient; A difference marking coefficient is matched for each section of the associated line to be monitored, and a suitable difference marking coefficient is screened and assigned to the preliminary icing prediction result of the section of the associated line to be monitored, which serves as the basis for calculating the final icing prediction result; wherein the preliminary icing prediction result refers to the result of icing detection on the simulated wire using the image acquisition unit.

2. The line icing monitoring and early warning method with image recognition function according to claim 1 is characterized in that: The matching of difference marker coefficients for each section of the associated line to be monitored comprises the following steps: Identify the measuring point location information of each section of the line to be monitored, obtain the spacing distance information between different towers based on the measuring point location information, sort all the obtained spacing distance information to obtain a spacing distance sequence, and determine and filter the difference marking coefficient based on the priority of the spacing distance information in the spacing distance sequence.

3. The line icing monitoring and early warning method with image recognition function according to claim 2 is characterized in that: If there is multiple measuring point location information for each section of the associated line to be monitored, an interval distance sequence is obtained based on each measuring point location information, a key interval distance sequence is determined from the multiple interval distance sequences, and the difference marking coefficient is determined and screened based on the priority of the interval distance information within the key interval distance sequence.

4. The line icing monitoring and early warning method with image recognition function according to claim 3 is characterized in that: Obtaining an interval distance sequence based on the position information of each measuring point, and determining a key interval distance sequence from multiple interval distance sequences includes the following steps: Obtain the second meteorological information of each measuring point location information, perform similarity comparison with the first meteorological information of different towers one by one according to the interval distance sequence corresponding to the measuring point location information, obtain multiple meteorological comparison results, merge all the meteorological comparison results to obtain the meteorological similarity value corresponding to the measuring point location information, and select the interval distance sequence corresponding to the measuring point location information with the highest meteorological similarity value as the key interval distance sequence.

5. The line icing monitoring and early warning method with image recognition function according to claim 4 is characterized in that: The step of obtaining the second meteorological information of each measuring point location information and performing similarity comparison with the first meteorological information of different towers one by one according to the interval distance sequence corresponding to the measuring point location information comprises the following steps: comparing the second meteorological information with each piece of first meteorological information one by one, and determining a first difference value and a second difference value between the second meteorological information and the single piece of first meteorological information obtained by the comparison unit; Calculate the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference, combine the dynamic coefficient of temperature and humidity difference with the first difference value to obtain the temperature and humidity difference value, and combine the dynamic coefficient of wind speed and direction difference with the second difference value to obtain the wind speed and direction difference value; calculate the similarity between the second meteorological information and the first meteorological information based on the temperature and humidity difference value and the wind speed and direction difference value.

6. The line icing monitoring and early warning method with image recognition function according to claim 5 is characterized in that: The calculation of the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient comprises the following steps: Obtain a temperature and humidity gradient distribution diagram and a wind speed and direction gradient distribution diagram of the corresponding section of the associated monitored line; obtain the temperature and humidity display value of the measuring point location information based on the temperature and humidity gradient distribution diagram, and obtain the wind speed and direction display value of the measuring point location information based on the wind speed and direction gradient distribution diagram; calculate the temperature and humidity difference dynamic coefficient using the temperature and humidity display value and the measured second temperature and humidity information, and calculate the wind speed and direction difference dynamic coefficient using the wind speed and direction display value and the measured second wind speed and direction information; wherein, the temperature and humidity gradient distribution diagram refers to a distribution diagram that numerically displays the temperature and humidity segments according to the direction of the associated monitored line, and the wind speed and direction gradient distribution diagram refers to a distribution diagram that numerically displays the wind speed and direction segments according to the direction of the associated monitored line.

7. The line icing monitoring and early warning method with image recognition function according to claim 6 is characterized in that: It also includes the steps of updating the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map: updating the temperature and humidity display values according to the measured second temperature and humidity information, and updating the wind speed and direction display values according to the measured second wind speed and direction information.

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