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

Abstract

The invention discloses a line icing monitoring device with an image recognition function and an early warning method, and the method is realized through the device, and comprises the steps: obtaining first meteorological information at any tower, and associating second meteorological information at a to-be-monitored line; acquiring a first difference value and a second difference value by using the comparison unit; combining the first difference value and the second difference value to obtain a difference repairing coefficient, and marking the information of the spacing distance between the associated to-be-monitored line and the tower to the corresponding difference repairing coefficient to form a difference marking coefficient; and screening out a proper difference mark coefficient for each section of associated to-be-monitored line, and giving a preliminary icing prediction result to the section of associated to-be-monitored line. The difference between the meteorological condition of each tower and the meteorological condition of the associated to-be-monitored line is determined, and the difference is screened and matched and then filled with the simulated lead icing monitoring result, so that the suitable icing state of the associated to-be-monitored line is more accurately speculated.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission line disaster warning, and more particularly, to a line icing monitoring device with image recognition function and a warning method thereof. Background Art

[0002] When monitoring and warning the icing of overhead lines, generally, a comprehensive evaluation of the line icing condition is achieved through tension sensing technology, micro-meteorological monitoring technology, angle sensor technology, and in cooperation with high-definition video monitoring technology. Although this method can realize the monitoring of line icing, the entire system needs to be installed with power off (the sensor and the line to be measured need to be assembled with power off), which will affect the normal operation of the circuit. In the prior art, there has already appeared a line icing monitoring device that does not require power-off installation. Its principle is to configure a simulated conductor to generate an icing condition under the same or similar conditions as the line to be measured, and to equivalently infer the icing condition of the line to be measured by measuring the change of the icing on the simulated conductor. This method can be disassembled and installed in real time without power-off operation, and has obvious practical advantages. Especially in mountainous areas with tight transmission conditions, when installing the monitoring device on the pole without power-off, the disassembly and installation time can be relatively flexibly selected, and it has strong operation adaptability.

[0003] However, there are uncontrollable factors in inferring the icing state of the transmission line based on the icing state of the simulated conductor. On the one hand, it is interfered by environmental factors, which will cause a difference in the icing conditions between the simulated conductor (at the pole) and the local part of the overhead line (at the line to be monitored). Especially in an environment with obvious terrain differences, this difference will be more obvious. On the other hand, it depends on the inference of the adjacent area where the simulated conductor is installed, 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 not installed, there will be a problem of insufficient inference accuracy.

[0004] In view of this, the present application is specifically proposed. Summary of the Invention

[0005] The first object of the present invention is to provide a line icing monitoring device with image recognition function, which can be installed on the pole and infer the icing condition information of the line to be monitored by collecting the icing condition information of the simulated conductor, and its simulated conductor can be adjusted in real time to ensure that it is in a more similar state condition to the line to be monitored, so as to ensure the reliability of the prediction accuracy; The second object of the present invention is to provide a line icing monitoring and warning method with image recognition function. This warning method uses the above monitoring device to determine the difference between the meteorological conditions at each pole and the meteorological conditions at the associated line to be monitored, and after screening and matching this difference and filling it with the monitoring result of the simulated conductor icing, the icing state of the associated line to be monitored can be inferred more accurately.

[0006] Embodiments of the present invention are implemented as follows: In a first aspect, a line icing monitoring device with an image recognition function includes a support frame, a simulated wire assembly, a first meteorological unit, and an image acquisition unit. A controller is installed on the support frame, and the support frame has an installation part for connecting to a tower. The simulated wire assembly includes a clamp mechanism and a simulated wire. The clamp mechanism is installed on the support frame and is used to clamp the simulated wire and place the simulated wire outside the tower. The first meteorological unit is installed on the support frame. The first meteorological unit 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. The first temperature and humidity acquisition component and the first wind speed and direction acquisition component are respectively used to acquire the first temperature and humidity information and the first wind speed and direction information at the tower. The image acquisition unit is communicatively connected to the controller, and the image acquisition unit is used to acquire and recognize images of at least part of the simulated wire. Among them, the clamp mechanism includes a traction chuck, a tension sensor, and a clamping and rotating component. The traction chuck is used to clamp and traction the two ends of the simulated wire. The tension sensor is used to detect the tension applied to the clamped part of the simulated wire. The clamping and rotating component is used to drive the traction chuck and the simulated wire to rotate synchronously, so that the simulated wire has the same orientation as the line to be monitored.

[0007] In some optional embodiments, it further 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. 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.

[0008] In some optional embodiments, it further includes a ranging unit. The ranging unit is used to detect the interval distance information between the line to be monitored and the outside of the tower. The comparison unit is also used to screen all the interval distance information and send the screening result to the controller.

[0009] Second aspect, a method for monitoring and warning line icing with image recognition function, which applies the above-mentioned line icing monitoring device with image recognition function. The method includes the following steps: obtaining the first temperature and humidity information and the first wind speed and direction information at any tower pole by using the first meteorological unit, which is recorded as the first meteorological information; obtaining the second temperature and humidity information and the second wind speed and direction information at the associated line to be monitored by using the second meteorological unit, which is recorded as the second meteorological information, where the associated line to be monitored refers to the line to be monitored directly connected to the tower pole; obtaining the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information by using the comparison unit to generate a first difference value; obtaining the wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information by using the comparison unit to generate a second difference value; combining the first difference value and the second difference value to obtain a difference repair coefficient, obtaining the interval distance information between the associated line to be monitored and the tower pole by using the ranging unit, and marking the interval distance information on the corresponding difference repair coefficient to form a difference marking coefficient; matching the difference marking coefficients for each section of the associated line to be monitored, screening out the appropriate difference marking coefficients and assigning them to the preliminary icing prediction results of this section of the associated line to be monitored, which is used as the calculation basis for the final icing prediction results; where the preliminary icing prediction result refers to the result of detecting the icing of the simulated conductor by using the image acquisition unit.

[0010] In some optional implementation manners, the matching of the difference marking coefficients for each section of the associated line to be monitored includes the following steps: identifying the measuring point position information of each section of the associated line to be monitored, respectively obtaining the interval distance information between different tower poles according to the measuring point position information, sorting all the obtained interval distance information to obtain an interval distance sequence, and determining and screening the difference marking coefficients according to the priority of the interval distance information in the interval distance sequence.

[0011] In some optional implementation manners, if there are multiple measuring point position information for each section of the associated line to be monitored, an interval distance sequence is respectively obtained according to each measuring point position information, a key interval distance sequence is determined from the multiple interval distance sequences, and the difference marking coefficients are determined and screened according to the priority of the interval distance information in the key interval distance sequence.

[0012] In some alternative embodiments, obtaining a sequence of interval distances according to each measuring point location information respectively, and determining the key interval distance sequence from multiple sequences of interval distances includes the following steps: obtaining the second meteorological information of each measuring point location information, comparing the interval distance sequence corresponding to the measuring point location information one by one with the first meteorological information of different towers for similarity, obtaining multiple meteorological comparison results, combining 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.

[0013] In some alternative embodiments, the step of obtaining the second meteorological information of each measuring point location information and comparing the interval distance sequence corresponding to the measuring point location information one by one with the first meteorological information of different towers for similarity includes the following steps: comparing the second meteorological information with each first meteorological information one by one to determine the first difference value and the second difference value obtained by the comparison unit between the second meteorological information and a single first meteorological information; calculating the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient, combining the temperature and humidity difference dynamic coefficient with the first difference value to obtain the temperature and humidity difference value, and combining the wind speed and direction difference dynamic coefficient with the second difference value to obtain the wind speed and direction difference value; calculating the similarity between the second meteorological information and the first meteorological information according to the temperature and humidity difference value and the wind speed and direction difference value.

[0014] In some alternative embodiments, the step of calculating the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient includes the following steps: obtaining the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map associated with the line to be monitored for the corresponding section; 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 temperature and humidity difference dynamic coefficient with the temperature and humidity display value and the measured second temperature and humidity information, and calculating the wind speed and direction difference dynamic coefficient with the wind speed and direction display value and the measured second wind speed and direction information; wherein, the temperature and humidity gradient distribution map is a distribution map that numerically displays the temperature and humidity in segments according to the trend of the line to be monitored, and the wind speed and direction gradient distribution map is a distribution map that numerically displays the wind speed and direction in segments according to the trend of the line to be monitored.

[0015] In some alternative embodiments, it further includes the step of updating the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map: updating the temperature and humidity display value according to the measured second temperature and humidity information, and updating the wind speed and direction display value according to the measured second wind speed and direction information.

[0016] The beneficial effects of the embodiments of the present invention are: 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 shielding of the tower by installing the simulated conductor outside the tower. And the simulated conductor is pulled and towed by the clamp mechanism to make it as close as possible to the vertical state of the line to be monitored. Then, the clamping and rotating assembly is used to adjust the orientation position to make it have the same orientation as the line to be detected, so as to ensure that the physical environment state of the simulated conductor is highly adapted to the physical environment 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, the meteorological unit monitors the meteorological parameters, and can judge whether the meteorological parameters at the tower are accurate and whether they match the meteorological parameters of the line to be monitored, so as to assist in judging the accuracy of the result of the image recognition icing state; The line icing monitoring and 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 related to the line to be monitored. By comparing the differences between the two, a difference repair coefficient is obtained. This difference repair coefficient represents the meteorological difference between the two measurement points. When detecting the icing state of the simulated conductor by image recognition, combining this difference repair coefficient can greatly restore the icing state related to the line to be monitored, so as to achieve higher prediction accuracy; On this basis, when dealing with the situation where the line to be monitored is connected to different towers, the above-mentioned difference repair coefficients can be further screened and matched, and the more suitable, especially the difference repair coefficients with closer distances, are combined for prediction, so as to cope with the problem of icing prediction accuracy of overhead lines at relatively far distances; Generally speaking, the line icing monitoring device and warning method with image recognition function provided by the embodiment of the present invention can use the icing monitoring of the simulated conductor to infer the icing state of the adjacent overhead line. On this basis, it considers the problem of the difference in inference accuracy caused by the meteorological environment difference between the two, and also considers selecting a suitable simulated conductor according to the principle of proximity to infer the overhead line at a long distance, so as to ensure a higher-precision icing state warning result without power interruption. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a top view structural schematic diagram of the icing monitoring device provided by the embodiment of the present invention; Figure 2Flow chart of the main steps of the monitoring and early warning method provided by the embodiments of the present invention; Figure 3 For Figure 2 Flow chart of one of the main steps, step S400, shown; Figure 4 For Figure 3 Flow chart of sub-step S420 of step S400 shown; Figure 5 For Figure 4 Flow chart of sub-step S422 of sub-step S420 shown; Figure 6 For Figure 5 Flow chart of sub-step S4222 of sub-step S422 shown.

[0019] Icon: 1 - Support frame; 2 - Simulated wire; 3 - Clamp mechanism; 4 - First meteorological unit; 5 - Controller; 6 - Image acquisition unit; 31 - Clamping and rotating assembly; 32 - Traction chuck. Detailed implementation manners

[0020] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated herein can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] In the present invention, flow charts are used to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the operations before or after do not necessarily need to be executed precisely in sequence. On the contrary, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0023] Embodiment: When using an image recognition monitoring system to predict the icing of overhead lines in mountainous areas, problems such as power outage for installing sensors and clamping components will be encountered, which will affect normal power consumption. To address this issue, we use a simulated conductor made of the same material as or with a similar height to the overhead line for installation on the pole tower. The installation height is the same as that of the overhead line, so as to infer the icing state of the overhead line based on the icing state of the simulated conductor. Using this method, power-off operation can be avoided, and it can adapt to the characteristic that the monitoring position needs to be frequently changed in the mountainous environment, that is, it can be disassembled and installed on different pole towers in real time without affecting normal power supply. In the practice of the above-mentioned simulated icing prediction mode, we found that, on the one hand, according to the different lengths of the overhead lines, their sag after icing is in a continuous changing process, while the sag change of the simulated conductor cannot match, which will affect the final result of calculating the icing thickness through tension and angle sensors, resulting in the problem of low final prediction accuracy. Therefore, the physical state of the simulated conductor needs to be more consistent with that 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 this distance, the greater the difference in meteorological conditions at the two points. Especially in the mountainous environment, considering the problem that micro-topography will affect micro-meteorology, this difference will be more obvious. Therefore, it is necessary to consider using the compensation of meteorological parameters at the pole tower and at the line to be monitored to reduce this difference caused by the distance.

[0024] Therefore, in view of the above problems, we propose a line icing monitoring device with image recognition function. This device has the function of monitoring the icing of the simulated conductor and also has the function of real-time regulation of the simulated conductor, and can automatically control and be in a more consistent physical state with the overhead line; at the same time, we also propose a line icing monitoring and warning method with image recognition function. This method can consider the compensation coefficient of meteorological differences when inferring the icing difference between the pole tower and the line to be monitored, so as to correct the final icing detection result of the simulated conductor and obtain a more accurate icing prediction result closer to the line to be monitored. At the same time, it also considers which simulated conductor at the pole tower to choose for inference for different lines to be monitored, ensuring relatively accurate icing warning operations in areas where the monitoring device is installed far away or in relatively blank monitoring line areas.

[0025] For details, please refer to Figure 1 In this embodiment, a line icing monitoring device with image recognition function includes a support frame 1, a simulated 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 for data pre-processing and calculation. The support frame 1 has an installation part for connecting with the pole tower. The installation part can be a clamping groove, a plugging protrusion, a threaded connector, etc., aiming to facilitate disassembly and installation with the pole tower truss.

[0026] The simulated wire assembly includes a wire clamp mechanism 3 and a simulated wire 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 wire 2 and place the simulated wire 2 outside the tower, that is, it means that part of the wire clamp mechanism 3 is connected to the support frame 1, and the other part is connected to the simulated wire 2, and can make the simulated wire 2 extend out of the tower, so as to achieve the subsequent reduction of environmental occlusion of the simulated wire 2 and approach the environmental conditions of the overhead line.

[0027] The first meteorological unit 4 is installed on the support frame 1 and can effectively sense 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 that are both communicatively connected to the controller 5. The first temperature and humidity acquisition component and the first wind speed and direction acquisition component are respectively used to acquire the first temperature and humidity information and the first wind speed and direction information at the tower, so as to be able to collect the temperature, humidity, wind speed and direction data at the tower in real time and send them to the controller 5 for further analysis. The image acquisition unit 6 is communicatively connected to the controller 5, and the image acquisition unit 6 is used to acquire and identify at least part of the image of the simulated wire 2, so as to be able to use image recognition technology to preliminarily analyze the icing state of the simulated wire, so as to achieve the purpose of judging the icing thickness and giving a preliminary warning.

[0028] Through the above technical solutions, it is possible to infer the icing state of the overhead line (the line to be monitored) based on the icing state of the simulated wire, and it is possible to install it at a designated and appropriate tower for the icing prediction function of the adjacent overhead line under the condition of non-power-off operation, which has high practical convenience. On this basis, since the icing state of the overhead line is inferred relying on the simulated wire 2, in addition to the material of the simulated wire 2 needing to be the same or similar to that of the overhead line, the physical presentation state of the simulated wire 2 also needs to be the same or similar to the physical presentation state of the overhead line, such as sag, traction tension, orientation, etc.

[0029] Specifically, the wire clamp mechanism 3 includes a traction chuck 32, a tension sensor and a clamping and rotating assembly 31. The traction chuck 32 is used to clamp and traction the two ends of the simulated wire 2, that is, on the one hand, the (two) traction chucks 32 are used to clamp the (two) ends of the simulated wire 2 and stably clamp the simulated wire 2, and on the other hand, the (two) traction chucks 32 are used to pull (traction) the (two) ends of the simulated wire 2, so that the simulated wire 2 reaches the specified tension and maintains a matching sag, so as to be consistent with the tension and sag states of the overhead line.

[0030] Among them, the tensile force sensor is used to detect the tensile force on the clamped part of the simulated wire 2 to ensure that a specified traction clamping state is achieved between the traction chuck 32 and the simulated wire 2. In addition, the clamping and rotating assembly 31 is used to drive the traction chuck 32 and the simulated wire 2 to rotate synchronously, so that the simulated wire 2 and the line to be monitored (overhead line) maintain the same orientation. Specifically, the clamping and rotating assembly 31 includes a fixed part and a rotating part. One of its fixed part or rotating part is connected to the support frame 1, and the other is connected to the whole composed of the traction chuck 32 and the simulated wire 2 (for example, connected through a bracket). Its rotation control part is communicatively connected to the controller 5, so as to be able to drive the rotation position of the traction chuck 32 and the simulated wire 2 (generally horizontal rotation) to be consistent with the orientation of the line to be monitored in real time.

[0031] Through the above technical solution, the coordinated work of the simulated wire assembly, the first meteorological unit 4 and the image acquisition unit 6 can be installed on the power pole without power outage, and the icing condition of the adjacent overhead line can be monitored and warned in real time. By using a simulated wire 2 with similar material and physical state (such as sag, tension, orientation) to the actual overhead line to simulate the real icing process, and through image recognition technology to preliminarily analyze the icing thickness. At the same time, the traction chuck 32 in the clamp mechanism 3 ensures the appropriate tension and sag of the simulated wire 2, while the clamping and rotating assembly 31 ensures that the simulated wire 2 and the line to be monitored maintain the same orientation. Cooperating with the first meteorological unit 4 to collect environmental parameters in real time provides more accurate data support for icing prediction, thus realizing installation without power outage and effectively monitoring the icing state of the overhead line, improving the practicability and convenience of icing warning.

[0032] On the basis of the above technical solution, the icing state of the line to be monitored can be inferred from the icing state of the simulated wire 2. In this process, since there is a certain distance between the pole (where the simulated wire 2 is located) and the line to be monitored (a local part of the overhead line), there are differences in the meteorological environment conditions. Therefore, when predicting the icing of the line to be monitored, the meteorological environment differences between the two points need to be compensated and considered to improve the accuracy of icing inference using the simulated wire 2.

[0033] That is, the line icing monitoring device with image recognition function further 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 to say, it further 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 method of using a drone carrying a meteorological sensor to temporarily stop at the line to be monitored for meteorological parameter collection is adopted. The purpose is to collect the meteorological parameters at this place and send them to the comparison unit for further difference analysis. Further, 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. That is to say, 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.

[0034] Through the above technical solution, by introducing the second meteorological unit and the comparison unit, the compensation for the meteorological environment difference between the position of the simulated conductor 2 (at the pole tower) and the overhead line to be monitored is realized. The comparison unit compares 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, calculates the temperature and humidity difference information and the wind speed and direction difference information between the two, and sends these difference information to the controller 5. The controller can more accurately adjust the prediction model based on the icing state of the simulated conductor 2 to consider the environmental difference between the two points, thereby improving the icing prediction accuracy and ensuring a more reliable assessment of the icing condition of the overhead line.

[0035] Considering the compensation problem of the influence of the meteorological environment difference between the pole tower and the line to be monitored on the prediction result accuracy, 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 is connected to at least two pole towers, and the connected pole towers may not necessarily be installed with the above-mentioned line icing monitoring device with image recognition function, or the pole tower installed with the line icing monitoring device with image recognition function is far away from the line to be monitored (measuring point). In this case, it is necessary to consider which pole tower (installed with the line icing monitoring device) the difference compensation is applicable to the target line to be monitored (measuring point).

[0036] To address the above problems, the line icing monitoring device with image recognition function further includes a ranging unit. The ranging unit is used to detect the interval distance information between the line to be monitored and the outside of the tower. The ranging unit can be a fixed measuring point installed outside the tower or a temporary measuring point docked 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 screen all the interval distance information and send the screening result to the controller 5, indicating that the comparison unit can obtain the interval distance between the line to be monitored and different towers (installed with line icing monitoring devices). By comparing these interval distances, the suitable interval distance information is selected and sent to the controller 5. The controller 5 executes combining the differential compensation at which tower with the icing detection result of the simulated conductor 2 at that place to predict the icing information of the line to be monitored above.

[0037] Through the above technical solution, by introducing a ranging unit and optimizing the logic of the comparison unit, the problem of how to select the most suitable meteorological differential compensation data when the line to be monitored is connected to multiple towers and not all towers are installed with icing monitoring devices is solved. That is, the ranging unit measures the interval distance between the line to be monitored and each tower installed with a monitoring device, and sends this distance information 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 differential compensation data is the most representative. From the icing state of the simulated conductor 2 and the meteorological differential compensation data selected here, the icing condition of the line to be monitored can be predicted more accurately.

[0038] This embodiment also provides a line icing monitoring and 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 warning method with image recognition function includes the following steps 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, denoted 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 related to the line to be monitored, denoted as the second meteorological information. Among them, the line related to the line to be monitored refers to the line to be monitored directly connected to the tower. This step indicates that when performing icing warning for different lines to be monitored, it is necessary to collect the meteorological information at the tower and the line to be monitored. The line to be monitored and the tower are in an associated relationship, that is, the tower is directly connected to the line to be monitored (denoted as the associated line to be monitored), and then 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 are obtained respectively.

[0039] S200: Obtain the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information by using the comparison unit to generate a first difference value; obtain the wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information by using the comparison unit to generate a second difference value. This step means that after the above first meteorological information and second meteorological information are sent to the comparison unit, they are compared and analyzed by the comparison unit. Calculate the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information, and numericalize according to this temperature and humidity difference information to obtain the first difference value. At the same time, calculate the wind speed and direction difference information between the first wind speed and direction information and the second wind speed and direction information, and numericalize this wind speed and direction difference information to obtain the second difference value. The first difference value and the second difference value respectively represent the temperature difference value, humidity difference value, wind speed difference value, and wind direction difference value at two points.

[0040] S300: Combine the first difference value and the second difference value to obtain a difference repair coefficient. Use the distance measurement unit to obtain the interval distance information between the associated line to be monitored and the tower, and mark this interval distance information on the corresponding difference repair coefficient to form a difference marking coefficient. This step means 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 combination method can be direct summation and multiplication, or weighted summation and multiplication, and then the difference repair coefficient is obtained. This difference repair coefficient is used to characterize the meteorological parameter difference between the tower and the associated line to be monitored. When predicting icing in the follow-up, this difference repair coefficient needs to be considered in combination (that is, the difference repair coefficient is given to the icing prediction result of the simulated conductor 2 for speculation).

[0041] In addition, on the basis of obtaining the difference repair coefficient, it is also necessary to consider the distance between the tower and the associated line to be monitored, so as to facilitate the subsequent matching operation of the difference repair coefficient for the near distance. That is, use the distance measurement unit to obtain the interval distance information between the associated line to be monitored and the tower, and this interval distance information is used as an identifier and marked on the difference repair coefficient (for example, the difference repair coefficient is given a subscript) to form a difference marking coefficient.

[0042] S400: Match the differential marking coefficients for each section associated with the line to be monitored, screen out the appropriate differential marking coefficients and assign them to the preliminary icing prediction results for the section associated with the line to be monitored, which serve as the calculation basis for the final icing prediction results; wherein, the preliminary icing prediction results refer to the results of icing detection of the simulated conductor using the image acquisition unit 6. This step means screening the differential marking coefficients at the nearest tower based on the line section associated with the line to be monitored, that is, matching the differential marking coefficients calculated from the tower equipped with the icing monitoring device. After obtaining the appropriate differential marking coefficients, they are directly involved in the icing prediction, that is, dynamically combined with the results of icing detection of the simulated conductor 2 (through the image acquisition unit 6). Under the continuously changing icing detection state of the simulated conductor 2 over time, differential marking coefficients (mainly differential repair coefficients) are assigned for dynamic icing speculation at the section associated with the line to be monitored. It should be noted that once the differential repair coefficients are calculated, they can be used in the subsequent icing prediction process during dynamic changes, that is, compensated and combined with the differential repair coefficients according to the corresponding meteorological parameters in the icing state detection model of the simulated conductor 2, and then input into the model to obtain the icing detection results as the icing speculation results for the section associated with the line to be monitored.

[0043] Through the above technical solution, the differential repair coefficients between the meteorological conditions of the tower and the line sections associated with the lines to be monitored are obtained in advance, which can be applied to the calculations in the subsequent dynamic icing speculation process at any time. And by combining the interval distance information with the differential repair coefficients to form differential marking coefficients, appropriate differential marking coefficients can be quickly and conveniently matched for icing compensation speculation when predicting icing at different line sections associated with the lines to be monitored, that is, applying these differential marking coefficients to the icing detection results of the nearby simulated conductor 2, dynamically adjusting the icing prediction model, and achieving accurate icing prediction for the line sections associated with the lines to be monitored. This not only improves the accuracy of icing warning but also can be quickly and stably applied to the subsequent icing compensation speculation through the pre-obtained differential repair coefficients, achieving a high prediction convenience.

[0044] In this embodiment, the differential marking coefficients can be matched according to the principle of proximity, that is, the differential repair coefficients (formed differential marking coefficients) calculated from the tower closest to the line section associated with the line to be monitored are used for subsequent icing speculation. For details, please refer to Figure 3 , and the matching of differential marking coefficients for each section associated with the line to be monitored includes the following steps: S410: Identify the position information of the measuring points associated with each section of the line to be monitored, and respectively obtain the interval distance information between different towers according to the position information of the measuring points; this step represents identifying the positions of the icing detection points for the sections of the line to be monitored that require icing prediction, that is, identifying and locating the specific position information of the measuring points. With the coordinates of this measuring point, the interval distance information between it and different towers can be obtained (the specific method can be measured in advance by the above distance measuring unit, and these interval distance information can be directly called according to the target measuring point position information).

[0045] S420: Sort all the obtained interval distance information to obtain an interval distance sequence, and determine and screen the difference marking coefficients according to the priority of the interval distance information in the interval distance sequence; this step represents sorting the magnitudes of all the obtained interval distance information to form an interval distance sequence. According to this interval distance sequence, the tower corresponding to the interval distance information with the highest priority (such as the closest distance, of course, in different scenarios, it can be the straight-line distance or the walking distance) can be intuitively obtained. The difference repair coefficient obtained in advance for this tower is used as the icing speculation compensation coefficient for this measuring point position.

[0046] Through the above technical solution, the positions of the icing detection points on the sections of the line to be monitored are identified, and the interval distance information between these measuring points and the surrounding towers is calculated. Then, all the interval distances are sorted according to the distance. Based on this, the difference repair coefficient corresponding to the tower with the closest distance can be selected as the icing speculation compensation coefficient and applied to subsequent icing prediction, that is, the difference marking coefficients are matched using the principle of proximity, achieving more accurate icing prediction.

[0047] Based on the above technical solution, if there is one measuring point (for each section of the line to be monitored), a set of interval distance sequences can be generated for priority screening of the difference marking coefficients; if there are multiple measuring points, it is necessary to consider which difference marking coefficient of the same tower best matches these measuring points, including the following two cases: First, all measuring points match the same tower; Second, different measuring points match different towers (such as some measuring points match one tower, and some other measuring points match another tower). For the above situations, if the difference marking coefficients matched by different measuring points are selected respectively, it will result in multiple icing speculation results for this section of the line to be monitored. On the one hand, it increases the complexity of the icing prediction calculation for this section of the line to be monitored, and on the other hand, it is impossible to unify a difference marking coefficient for representation, and the icing speculation results lack consistency.

[0048] To address the aforementioned problems, in this embodiment, a representative same tower is selected for subsequent ice accretion speculation in the case of multiple measuring points. Specifically, if there are multiple measuring point location information for each associated line to be monitored, an interval distance sequence is obtained according to each measuring point location information, that is, it means that an interval distance sequence is obtained for each measuring point location information by using the above-mentioned generation method of the interval distance sequence. Then, a key interval distance sequence is determined from multiple interval distance sequences, and the difference marking coefficients are determined and screened according to the priority of the interval distance information in the key interval distance sequence, that is, it means that the most suitable interval distance sequence is selected from all interval distance sequences as the key interval distance sequence, so as to obtain the difference marking coefficient corresponding to the interval distance information with the highest priority in the key interval distance sequence for the ice accretion speculation of the associated line to be monitored in this section.

[0049] Through the above technical solution, for the associated line to be monitored containing multiple measuring points, by generating an interval distance sequence for each measuring point and determining a key interval distance sequence from them to select the most representative tower difference marking coefficient, the consistency and accuracy of ice accretion prediction are ensured. On this basis, the key interval distance sequence can be the one with the highest similarity of meteorological parameters between the same tower and multiple measuring points. Specifically, please refer to Figure 4 , an interval distance sequence is obtained according to each measuring point location information, and the steps for determining the key interval distance sequence from multiple interval distance sequences are as follows: S421: Obtain the second meteorological information of each measuring point location information. This step means that the second meteorological information is collected for each measuring point location, and then step S422 is carried out: The interval distance sequence corresponding to the measuring point location information is compared with the first meteorological information of different towers one by one for similarity, and multiple meteorological comparison results are obtained. This step means that for each measuring point, the obtained interval distance sequence contains multiple corresponding towers, and then it is compared with the first meteorological information collected by each tower one by one for similarity to judge the meteorological difference situation with each tower, so as to obtain multiple meteorological comparison results.

[0050] S423: Merge all the meteorological comparison results to obtain the meteorological similarity value corresponding to the location information of the measuring point. This step means that all the meteorological comparison results of the measuring point are obtained through step S422, and then these meteorological comparison results are merged, for example, by means of mean merging or weighted mean merging, to obtain the meteorological similarity value corresponding to the location information of the measuring point. Then, proceed to step S424: Select the interval distance sequence corresponding to the location information of the measuring point with the highest meteorological similarity value as the key interval distance sequence. This step means that through the above calculation of the meteorological similarity value for the measuring point, this meteorological similarity value represents the meteorological similarity between the measuring point and different connected transmission towers. Select the location information of the measuring point with the highest meteorological similarity value, and the interval distance sequence generated at this point is used as the key interval distance sequence. Finally, proceed to step S425: Determine and screen the difference marking coefficients based on the priority of the interval distance information within the key interval distance sequence, that is, it means to screen the difference marking coefficients with the selected key interval distance sequence.

[0051] Through the above technical solution, an interval distance sequence is generated for each measuring point, and in combination with the similarity comparison of meteorological parameters between different transmission towers, the key interval distance sequence that is most similar to the first meteorological information of different transmission towers is selected from them, so as to select the most representative tower difference marking coefficient to participate in the icing prediction of the associated line to be monitored 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 transmission tower. It should be noted that the second meteorological information of the measuring point location can be obtained for the first time to be used for screening the appropriate difference marking coefficient. Once the difference marking coefficient corresponding to each associated line to be monitored is determined, this difference marking coefficient can be directly used for the subsequent speculation of icing warning operations. If it is necessary to update the difference marking coefficient or the matching method of the difference marking coefficient in the future, just operate again using the principle of the previous steps.

[0052] When conducting the above similarity comparison, it is mainly based on the differences in meteorological parameters. The meteorological parameters include temperature and humidity parameters, wind speed and direction parameters. These parameters are the main parameters affecting ice formation. Among them, the temperature and humidity parameters, wind speed and direction parameters can be obtained through meteorological units, or the differences between two points can be directly obtained through a comparison unit. In principle, the farther the two points are apart, the greater the difference in meteorological parameters. Based on this, finally, the interval distance sequence generated by the measuring point that is closest to all transmission towers is selected as the key interval distance sequence. On this basis, in addition to the distance selection principle, the similarity of actual meteorological parameters also needs to be further considered, so as to comprehensively select a more suitable interval distance sequence at the measuring point considering both aspects. For details, please refer to Figure 5, the second meteorological information for obtaining the position information of each measuring point is compared with the first meteorological information of different poles and towers one by one according to the interval distance sequence corresponding to the position information of the measuring point, including the following steps: S4221: Compare the second meteorological information with each first meteorological information one by one to determine the first difference value and the second difference value obtained by the comparison unit between the second meteorological information and a single first meteorological information; this step means that when comparing the meteorological parameter differences between the measuring point and different poles and towers, it is necessary to compare the second meteorological information with each first meteorological information separately, and then determine the first difference value and the second difference value obtained by the comparison unit between the second meteorological information and each first meteorological information, respectively obtaining 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 situation.

[0053] S4222: 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; this step means considering the compensation calculation that the difference is larger when the distance is farther in the actual meteorological difference situation, that is, the farther the distance, the larger the compensation coefficient, so as to take both the distance and the actual meteorological information into account in the subsequent similarity comparison. By calculating the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference as compensation, respectively combine the dynamic coefficient of temperature and humidity difference with the first difference value for compensation and obtain the temperature and humidity difference value, combine the dynamic coefficient of wind speed and direction difference with the second difference value for compensation and obtain the wind speed and direction difference value, and finally participate in the calculation of the subsequent similarity comparison.

[0054] S4223: Calculate the similarity between the second meteorological information and the first meteorological information according to the temperature and humidity difference value and the wind speed and direction difference value. This step means using the temperature and humidity difference value and the wind speed and direction difference value obtained by the above combined calculation to represent the similarity between the second meteorological information and the first meteorological information, so as to be used as the calculation basis of the meteorological similarity value. Considering that the meteorological difference is smaller when the distance is closer, this kind of difference compensation is carried out, and both the distance and the actual meteorological difference are considered to screen the key interval distance sequence.

[0055] Through the above technical solution, the second meteorological information of each measurement point is compared with the first meteorological information of each tower one by one, the actual difference values of temperature, humidity, wind speed and wind 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 wind 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 measurement points and the towers.

[0056] Based on the above technical solution, the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and wind direction difference are generally theoretical values. According to the change of topographic distance, the change of theoretical meteorological parameters is obtained. When performing the actual similarity comparison, compensating with the theoretical meteorological parameters can obtain a more realistic meteorological parameter similarity comparison. Specifically, please refer to Figure 6 , and the calculation of the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and wind direction difference includes the following steps: S42221: Obtain the temperature and humidity gradient distribution map and the wind speed and wind direction gradient distribution map corresponding to the associated line to be monitored; among them, the temperature and humidity gradient distribution map refers to the distribution map that numerically displays the temperature and humidity in segments according to the trend of the associated line to be monitored, and the wind speed and wind direction gradient distribution map refers to the distribution map that numerically displays the wind speed and wind direction in segments according to the trend of the associated line to be monitored; this step means using meteorological exploration technology to obtain the gradient distribution of temperature and humidity parameters and the gradient distribution of wind speed and wind direction corresponding to the associated line to be monitored in advance, that is, using a large-scale 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. The gradient is selected according to the detection accuracy and is mainly used to display the change values of temperature and humidity parameters and the change values of wind speed and wind direction along the line, so as to facilitate the subsequent step S42222: Obtain the temperature and humidity display values of the measurement point position information based on the temperature and humidity gradient distribution map, and obtain the wind speed and wind direction display values of the measurement point position information based on the wind speed and wind direction gradient distribution map; this step means directly obtaining the temperature and humidity display values and the wind speed and wind direction display values represented at the position of the measurement point by using the temperature and humidity gradient distribution map and the wind speed and wind direction gradient distribution map obtained in the previous step. It should be noted that the temperature and humidity display values and the wind speed and wind direction display values are theoretical values obtained by multi-point actual measurement and speculation calculation in advance, so as to form a gradient distribution map.

[0057] S42223: Calculate the dynamic coefficient of temperature and humidity difference by using the displayed temperature and humidity value and the measured second temperature and humidity information, and calculate the dynamic coefficient of wind speed and direction difference by using the displayed wind speed and direction value and the measured second wind speed and direction information; this step means calculating the dynamic coefficient of temperature and humidity difference through the difference between the displayed temperature and humidity value and the measured second temperature and humidity information (the second temperature and humidity information at the corresponding position of the measuring point location information), that is, the difference between the actual measured value and the relative theoretical obtained value is used as the dynamic coefficient of temperature and humidity difference. Similarly, calculate the dynamic coefficient of wind speed and direction difference by using the displayed wind speed and direction 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 (the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference), which is used as the calculation compensation basis that should be considered during the above similarity comparison.

[0058] Based on the above technical solution, considering that the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map are initially formed according to the large-scale meteorological sensing detection technology, and their detection accuracy varies depending on the detection means at that time. When the key interval distance sequence is screened again later, the display accuracy of the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map will decrease, affecting the acquisition accuracy of the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference, thus resulting in a problem of insufficient accuracy during the similarity comparison. Therefore, when calculating the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference, it also includes the step of updating the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map: update the displayed temperature and humidity value according to the measured second temperature and humidity information, and update the displayed wind speed and direction value according to the measured second wind speed and direction information. This step means updating the previous displayed temperature and humidity value and the displayed wind speed and direction value according to the subsequent measuring points' second temperature and humidity information and second wind speed and direction information to obtain the displayed meteorological parameter value in the latest state, so as to adapt to the dynamic change process.

[0059] Through the above technical solution, construct the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map, combine the measured second meteorological information (temperature and humidity, wind speed and direction), calculate the dynamic coefficient of temperature and humidity difference and the dynamic coefficient of wind speed and direction difference to compensate for the difference between the theoretical value and the actual value, and use the latest measured data to update the temperature and humidity gradient distribution map and the wind speed and direction gradient distribution map. It not only considers the influence of terrain distance on meteorological parameters but also ensures the accuracy of data by real-time updating the gradient distribution map, thereby improving the authenticity and reliability of the meteorological similarity comparison in ice accretion prediction.

[0060] The method for monitoring and warning of line icing with image recognition function provided in this embodiment is to obtain the differential repair coefficient by using the initial actual meteorological detection results (at the tower and the measuring points of the line to be monitored), so as to be directly used for the speculation and calculation of the icing condition at a certain measuring point of the line to be monitored at different times. It belongs to a mode where the comprehensiveness and accuracy of the early detection results can ensure the accuracy of the later prediction calculation results. And within this mode, the screening and reasonable determination mechanism of the differential repair coefficient are also considered to avoid the problem that the icing prediction result at the line measuring point is inaccurate due to insufficient matching accuracy of the differential repair coefficient, thus ensuring the reliability of the entire icing simulation and speculation mode.

[0061] Obviously, those skilled in the art can 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 equivalent technologies, the present application also intends to include these changes and modifications.

Claims

1. A line icing monitoring device with image recognition function, characterized in that, Comprising: A support frame, on which a controller is installed, and the support frame has a mounting portion for connecting with a pole tower; A simulated conductor assembly, the simulated conductor assembly includes a clamp mechanism and a simulated conductor, the clamp mechanism is installed on the support frame, and the clamp mechanism is used for clamping the simulated conductor and making the simulated conductor located outside the pole tower; A first meteorological unit, the first meteorological unit is installed on the support frame, the first meteorological unit includes a first temperature and humidity acquisition component and a first wind speed and wind direction acquisition component both communicating with the controller, the first temperature and humidity acquisition component and the first wind speed and wind direction acquisition component are respectively used for acquiring the first temperature and humidity information and the first wind speed and wind direction information at the pole tower; An image acquisition unit, the image acquisition unit communicates with the controller, and the image acquisition unit is used for acquiring and identifying images of at least part of the simulated conductor; Wherein, the clamp mechanism includes a traction chuck, a tension sensor and a clamping and rotating assembly, the traction chuck is used for clamping and pulling two ends of the simulated conductor, the tension sensor is used for detecting the tension received at the clamped position of the simulated conductor, and the clamping and rotating assembly is used for driving the traction chuck and the simulated conductor to rotate synchronously, so that the simulated conductor keeps the same orientation as the line to be monitored.

2. The line icing monitoring device with image recognition function according to claim 1, characterized in that, It further includes a second meteorological unit and a comparison unit, the second meteorological unit is used for collecting the second temperature and humidity information and the second wind speed and wind direction information at the line to be monitored, and sending the second temperature and humidity information and the second wind speed and wind direction information to the comparison unit; the comparison unit is used for obtaining the temperature and humidity difference information between the first temperature and humidity information and the second temperature and humidity information and sending it to the controller, and the comparison unit is further used for obtaining the wind speed and wind direction difference information between the first wind speed and wind direction information and the second wind speed and wind direction information and sending it to the controller.

3. The line icing monitoring device with image recognition function according to claim 2, characterized in that, It further includes a ranging unit, the ranging unit is used for detecting the interval distance information between the line to be monitored and the outside of the pole tower, and the comparison unit is further used for screening all the interval distance information and sending the screening result to the controller.

4. A line icing monitoring and early warning method with image recognition function, characterized in that, Applying the line icing monitoring device with image recognition function as claimed in claim 3, 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 wind direction information at any pole tower, denoted as the first meteorological information, using the second meteorological unit to obtain the second temperature and humidity information and the second wind speed and wind direction information at the associated line to be monitored, denoted as the second meteorological information, wherein, the associated line to be monitored refers to the line to be monitored directly connected to the pole 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, generating a first difference value; using the comparison unit to obtain the wind speed and wind direction difference information between the first wind speed and wind direction information and the second wind speed and wind direction information, generating a second difference value; Merge the first difference value and the second difference value to obtain a difference repair coefficient. Use the distance measurement unit to obtain the interval distance information between the associated line to be monitored and the tower, and mark this interval distance information on the corresponding difference repair coefficient to form a difference marking coefficient; Match the difference marking coefficients for each section of the associated line to be monitored, select the appropriate difference marking coefficients and assign them to the preliminary icing prediction results for each section of the associated line to be monitored, which serve as the calculation basis for the final icing prediction results; among them, the preliminary icing prediction results refer to the results of icing detection of the simulated conductor using the image acquisition unit.

5. The method for monitoring and warning icing of lines with image recognition function according to claim 4, characterized in that, The matching of the difference marking coefficients for each section of the associated line to be monitored includes the following steps: Identify the measuring point position information for each section of the associated line. Obtain the interval distance information between different towers based on this measuring point position information, sort all the obtained interval distance information to obtain an interval distance sequence, and determine and select the difference marking coefficients according to the priority of the interval distance information in the interval distance sequence.

6. The line icing monitoring and early warning method with image recognition function according to claim 5, characterized in that, If there are multiple measuring point position information for each section of the associated line to be monitored, obtain an interval distance sequence based on each measuring point position information respectively, determine the key interval distance sequence from multiple interval distance sequences, and determine and select the difference marking coefficients according to the priority of the interval distance information in the key interval distance sequence.

7. The line icing monitoring and early warning method with image recognition function according to claim 6, characterized in that, Obtain an interval distance sequence based on each measuring point position information respectively. The steps for determining the key interval distance sequence from multiple interval distance sequences include: Obtain the second meteorological information for each measuring point position information. Compare the interval distance sequence corresponding to this measuring point position information with the first meteorological information of different towers one by one for similarity, obtain multiple meteorological comparison results, merge all the meteorological comparison results to obtain the meteorological similarity value corresponding to this measuring point position information, and select the interval distance sequence corresponding to the measuring point position information with the highest meteorological similarity value as the key interval distance sequence.

8. The line icing monitoring and early warning method with image recognition function according to claim 7, characterized in that, The steps for obtaining the second meteorological information for each measuring point position information and comparing the interval distance sequence corresponding to this measuring point position information with the first meteorological information of different towers one by one for similarity include: Compare the second meteorological information with each first meteorological information one by one, and determine the first difference value and the second difference value obtained by the comparison unit between this second meteorological information and a single first meteorological information; Calculate the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient. Merge the temperature and humidity difference dynamic coefficient with the first difference value to obtain the temperature and humidity difference value, and merge the wind speed and direction difference dynamic coefficient with the second difference value to obtain the wind speed and direction difference value; calculate the similarity between this second meteorological information and this first meteorological information based on the temperature and humidity difference value and the wind speed and direction difference value.

9. The line icing monitoring and early warning method with image recognition function according to claim 8, characterized in that, The steps for calculating the temperature and humidity difference dynamic coefficient and the wind speed and direction difference dynamic coefficient include: Obtain the temperature-humidity gradient distribution map and wind speed-wind direction gradient distribution map corresponding to the associated line to be monitored; obtain the temperature-humidity display value of the measuring point position information based on this temperature-humidity gradient distribution map, and obtain the wind speed-wind direction display value of the measuring point position information based on this wind speed-wind direction gradient distribution map; calculate the temperature-humidity difference dynamic coefficient with this temperature-humidity display value and the measured second temperature-humidity information, and calculate the wind speed-wind direction difference dynamic coefficient with this wind speed-wind direction display value and the measured second wind speed-wind direction information; wherein, the temperature-humidity gradient distribution map refers to the distribution map that numerically displays the temperature and humidity in segments according to the direction of the associated line to be monitored, and the wind speed-wind direction gradient distribution map refers to the distribution map that numerically displays the wind speed and wind direction in segments according to the direction of the associated line to be monitored.

10. The method for monitoring and warning of overhead line icing with image recognition function according to claim 9, characterized in that, It further includes the step of updating the temperature-humidity gradient distribution map and the wind speed-wind direction gradient distribution map: update the temperature-humidity display value according to the measured second temperature-humidity information, and update the wind speed-wind direction display value according to the measured second wind speed-wind direction information.

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