A data processing method based on a large model

Abstract

The present invention relates to the technical field of data processing, and in particular to a data processing method based on a large model. By setting up a damage control library and inputting the collected images into the large model, it monitors whether the transmission cables and corresponding transmission nodes are safe, and verifies the corresponding security according to the transmission results. While effectively improving the security of the transmission cables, it enhances the real-time nature of detection, overcomes the problem that the simple parameter translation fails to accurately predict the influence of weather factors on the transmission cables, and can effectively train the large model, thereby effectively improving the security of the transmission cables.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a data processing method based on a large model. Background Art

[0002] In data processing, a large amount of data is usually used for denoising and cleaning to ensure the quality and usability of the data. For example, outliers are detected and removed through statistical methods or machine learning algorithms, missing values are filled using interpolation methods, mean filling, etc., and data is smoothed through methods such as moving average and exponential smoothing to reduce noise interference.

[0003] In addition, multi-modal fusion technology is also adopted to jointly encode data of different modalities such as images and texts to better mine information in the data. For example, FullAnno obtains comprehensive annotations of images through an instruction LLM, including object categories, locations, regional descriptions, and text information in the images.

[0004] Using a large model to process real-time data can provide good guarantees for device security and data security.

[0005] Chinese Patent Application Publication No.: CN104463716A discloses a power grid dispatching operation risk early warning method and system based on weather factors. The invention discloses a power grid dispatching operation risk early warning method and system based on weather factors. The method includes: obtaining weather state information including multiple meteorological index data at the location of the power grid dispatching operation equipment; subtracting each meteorological index data from its corresponding preset threshold, and comparing the difference with the preset threshold to obtain the meteorological index value corresponding to the meteorological index data; translating each meteorological index value by the same translation amplitude until each translated meteorological index value is a positive number, and determining the meteorological index translation value corresponding to each meteorological index value; calculating the corresponding meteorological entropy value according to the meteorological index translation value, and correcting each meteorological entropy value to obtain the risk impact value of the power grid dispatching operation based on the current weather factor as the influencing factor; warning the power grid dispatching operation under the current weather factor according to the risk impact value. The invention improves the accuracy of obtaining the risk impact value and avoids false alarms during early warning.

[0006] However, the above method has the following problems: simply subtracting the meteorological index data from the corresponding preset threshold and comparing the difference with the threshold fails to accurately reflect different weather factors, and the simple parameter translation fails to accurately predict the impact of weather factors on transmission cables. Summary of the Invention

[0007] To this end, the present invention provides a data processing method based on a large model, which introduces a large model to overcome the problems in the prior art that subtracting meteorological index data from corresponding preset thresholds and simply comparing the differences with the thresholds fail to accurately reflect different weather factors, and that the impact of weather factors on transmission cables cannot be accurately predicted through simple parameter translation.

[0008] To achieve the above object, the present invention provides a data processing method based on a large model for determining the data transmission security of transmission cables, including:

[0009] Recording the vibration times of a number of transmission cables and generating a corresponding damage comparison library according to the historical data of the vibration times;

[0010] Setting a number of transmission paths and a number of transmission nodes corresponding to the transmission cables;

[0011] Collecting the real-time physical data and real-time transmission data of the transmission paths, the real-time physical data of the transmission nodes, and the environmental data of the area where the transmission paths are located;

[0012] Determining the aging rate of the transmission path according to the real-time physical data of the transmission path, determining the offset of the overhead transmission node before and after the strong wind passes according to the real-time physical data of the transmission node, and generating vibration data according to the vibration times and the environmental data;

[0013] Determining the actual short-circuit rate of the transmission cable according to the vibration data and the aging rate, determining the fracture rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and respectively determining the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the environmental data;

[0014] Generating a predicted short-circuit rate according to the actual short-circuit rate and the predicted aging rate, and generating a predicted fracture rate according to the fracture rate and the predicted offset;

[0015] Pairing the predicted short-circuit rate and the predicted fracture rate with the damage comparison library,

[0016] If the pairing is successful, forming a corresponding physical transmission damage rate;

[0017] If the pairing fails, verifying the real-time transmission data, and,

[0018] In response to successful verification, recording the predicted short-circuit rate and the predicted fracture rate as the normal state and storing them in the damage comparison library;

[0019] If the response verification fails, record the predicted short - circuit rate and the predicted fracture rate as abnormal states, generate the corresponding physical transmission damage rate, and store it in the damage comparison library.

[0020] Further, the process of monitoring the safety of the transmission cable includes:

[0021] Record the number of vibrations of the transmission cable;

[0022] Before and after strong wind passes through the areas where each transmission cable is located, conduct cruise shooting on each transmission cable and overhead transmission node to generate cable images and transmission node images, and use them as the real - time physical data of the cable images or the real - time physical data of the transmission nodes respectively;

[0023] Collect the wind speed data, temperature data, and humidity data of the areas where each transmission cable is located as the environmental data;

[0024] Determine the aging rate of the transmission cable according to the cable image, determine the offset of the overhead transmission node before and after the strong wind passes according to the transmission node image, determine the vibration data of the transmission cable according to the wind speed data and the number of vibrations, the vibration data includes slight vibration and strong vibration, and determine the meteorological data of the transmission cable according to the temperature data and the humidity data, the meteorological data includes sun exposure data, rainfall data, icing data, and low - temperature data;

[0025] Determine the actual short - circuit rate of the transmission cable according to the vibration data and the aging rate, determine the fracture rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the meteorological data respectively;

[0026] Generate a predicted short - circuit rate according to the actual short - circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset;

[0027] Send a short - circuit alarm according to the predicted short - circuit rate, and send a fracture alarm according to the predicted fracture rate;

[0028] Wherein, the strong wind is flowing air with the wind speed data greater than or equal to a preset wind speed.

[0029] Further, the process of determining the vibration data of the transmission cable according to the wind speed data and the number of vibrations includes:

[0030] When the wind speed data is greater than or equal to the preset wind speed data, if the number of vibrations is greater than or equal to the preset number of vibrations, then determine that the vibration data of the transmission cable is the strong vibration

[0031] If the number of vibrations is less than the preset number of vibrations, it is determined that the vibration data of the transmission cable is the slight vibration;

[0032] The preset wind speed is positively correlated with the mass of the transmission cable, and the preset number of vibrations is negatively correlated with the mass of the transmission cable.

[0033] Further, when determining the water vapor content in the air according to the humidity data,

[0034] If the humidity data is greater than or equal to the preset humidity, it is determined that the water vapor content in the air is high,

[0035] If the humidity data is less than the preset humidity, it is determined that the water vapor content in the air is low;

[0036] The preset humidity is negatively correlated with the air pressure.

[0037] Further, when it is determined that the water vapor content in the air is high, the meteorological data of the transmission cable is determined according to the temperature data, wherein,

[0038] If the temperature data is not less than the first preset temperature, it is determined that the meteorological data is the rainfall data,

[0039] If the temperature data is less than the first preset temperature, it is determined that the meteorological data is the icing data,

[0040] The first preset temperature is negatively correlated with the atmospheric pressure.

[0041] Further, when it is determined that the water vapor content in the air is low, the meteorological data of the transmission cable is determined according to the temperature data, wherein,

[0042] If the temperature data is not less than the second preset temperature, it is determined that the meteorological data is the sun exposure data,

[0043] If the temperature data is less than the second preset temperature, it is determined that the meteorological data is the low temperature data;

[0044] The second preset temperature is greater than the first preset temperature and is positively correlated with the sunshine duration.

[0045] Further, the process of determining the aging rate of the transmission cable according to the cable image includes:

[0046] Detect the width and length of the crack in the insulating layer of the transmission cable in the cable image,

[0047] Calculate the aging rate of the transmission cable in combination with the diameter and length of the transmission cable.

[0048] Further, the process of determining the offset of the overhead transmission node before and after the strong wind passes according to the transmission node image includes:

[0049] Select the position where the bottom of the overhead transmission node contacts the ground as the origin of coordinates to establish a rectangular coordinate system.

[0050] Calculate the offset according to the pixel coordinates of the top of the overhead transmission node in the transmission node image before and after the strong wind passes.

[0051] Further, the process of determining the fracture rate and the aging rate includes:

[0052] Correspond the vibration data to vibration parameters and the meteorological data to meteorological parameters.

[0053] Calculate the actual short - circuit rate by combining the vibration parameters with the aging rate.

[0054] Calculate the fracture rate by combining the vibration parameters with the offset of the overhead transmission node before and after the strong wind passes.

[0055] Determine the predicted aging rate of the transmission cable according to the vibration data, the meteorological data, the diameter and the length of the transmission cable.

[0056] Determine the predicted offset of the transmission cable according to the vibration data, the meteorological data and the offset of the overhead transmission node.

[0057] Further, the process of predicting the fracture rate includes:

[0058] Couple the actual short - circuit rate and the predicted aging rate to generate the predicted short - circuit rate.

[0059] Couple the fracture rate and the predicted offset to generate the predicted fracture rate.

[0060] Compared with the prior art, the beneficial effects of the present invention are as follows: By setting up a damage comparison library and inputting the collected images into a large model, it monitors whether the transmission cable and the corresponding transmission nodes are safe, and verifies the corresponding security according to the transmission results. While effectively improving the security of the transmission cable, it enhances the real - time performance of detection, overcomes the problem that the simple parameter translation fails to accurately predict the influence of weather factors on the transmission cable, and can effectively train the large model, thereby effectively improving the security of the transmission cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a flowchart of the data processing method based on a large model of the present invention;

[0062] Figure 2 It is a schematic structural diagram of the data processing system according to an embodiment of the present invention;

[0063] Figure 3 It is a decision flowchart of the vibration state of the transmission cable according to an embodiment of the present invention;

[0064] Figure 4 It is a decision flowchart of determining the water vapor content in the air according to an embodiment of the present invention;

[0065] Figure 5 It is a decision flowchart of the meteorological state of the transmission cable according to an embodiment of the present invention. Detailed implementation manners

[0066] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0067] The preferred implementation manners of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these implementation manners are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0068] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present invention.

[0069] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0070] Please refer to Figure 1 as shown, which is a flowchart of the data processing method based on a large model of the present invention, including:

[0071] Step S1, record the vibration times of a plurality of transmission cables and generate a corresponding damage comparison library according to the historical data of the vibration times;

[0072] Step S2: Set a number of corresponding transmission paths and a number of transmission nodes according to the transmission cable;

[0073] Step S3: Collect the real-time physical data and real-time transmission data of the transmission path, the real-time physical data of the transmission node, and the environmental data of the area where the transmission path is located;

[0074] Step S4: Determine the aging rate of the transmission path according to the real-time physical data of the transmission path, determine the offset of the overhead transmission node before and after the strong wind passes according to the real-time physical data of the transmission node, and generate vibration data according to the number of vibrations and environmental data;

[0075] Step S5: Determine the actual short-circuit rate of the transmission cable according to the vibration data and the aging rate, determine the fracture rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the predicted overhead transmission node according to the vibration data and environmental data respectively;

[0076] Step S6: Generate a predicted short-circuit rate according to the actual short-circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset;

[0077] Step S7: Pair the predicted short-circuit rate and the predicted fracture rate with the damage comparison library.

[0078] If the pairing is successful, form a corresponding physical transmission damage rate;

[0079] If the pairing fails, verify the real-time transmission data, and

[0080] In response to successful verification, record the predicted short-circuit rate and the predicted fracture rate as the normal state and store them in the damage comparison library;

[0081] In response to failed verification, record the predicted short-circuit rate and the predicted fracture rate as the abnormal state, generate a corresponding physical transmission damage rate, and store it in the damage comparison library.

[0082] By setting a damage comparison library and inputting the collected images into a large model, monitor whether the transmission cable and the corresponding transmission nodes are safe, and verify the corresponding security according to the transmission results. While effectively improving the security of the transmission cable, the real-time performance of detection is enhanced, and the problem that the simple parameter translation fails to accurately predict the impact of weather factors on the transmission cable is overcome, and the large model can be effectively trained, thereby effectively improving the security of the transmission cable.

[0083] Please refer to Figure 2 As shown in the figure, it is a schematic structural diagram of the data processing system according to an embodiment of the present invention, including:

[0084] A number of vibration sensors are arranged on each transmission cable to record the number of vibrations of the corresponding transmission cable;

[0085] A number of unmanned aerial vehicles are used to conduct cruise shooting on each transmission cable and overhead transmission node before and after strong wind passes through the area where each transmission cable is located to generate cable images and transmission node images;

[0086] A meteorological unit is used to collect wind speed data, temperature data, and humidity data in the area where each transmission cable is located;

[0087] An analysis unit is respectively connected to the vibration sensors, unmanned aerial vehicles, and meteorological unit, and is used to determine the insulation aging rate of the transmission cable according to the cable image, determine the offset of the overhead transmission node before and after strong wind passes through according to the transmission node image, determine the vibration state of the transmission cable according to the wind speed data and the number of vibrations, the vibration state includes slight vibration and strong vibration, and determine the meteorological state of the transmission cable according to the temperature data and humidity data, the meteorological state includes exposure state, rainfall state, icing state, and low temperature state;

[0088] A simulation unit is connected to the analysis unit and is used to determine the actual short - circuit rate of the transmission cable according to the vibration state and insulation aging rate, determine the actual fracture rate of the transmission cable according to the vibration state and the offset of the overhead transmission node before and after strong wind passes through, and respectively determine the predicted insulation aging rate of the transmission cable and the predicted offset of the predicted overhead transmission node according to the vibration state and meteorological state;

[0089] A prediction unit is connected to the simulation unit and is used to generate a predicted short - circuit rate according to the actual short - circuit rate and predicted insulation aging rate, and generate a predicted fracture rate according to the actual fracture rate and predicted offset;

[0090] An alarm unit is connected to the prediction unit and is used to issue a short - circuit alarm according to the predicted short - circuit rate and issue a fracture alarm according to the predicted fracture rate;

[0091] Wherein, the strong wind is flowing air with a wind speed data greater than or equal to a preset wind speed.

[0092] It can be understood that the vibration sensors are arranged on each transmission cable to record the number of vibrations of the corresponding transmission cable. For the transmission cable, first, it is necessary to ensure that the installation surface is clean and dry. A cleaning tool can be used to wipe the installation part to remove impurities such as dust and oil stains to ensure good contact between the sensor and the cable surface and improve the measurement accuracy. When using the fixture installation method, a special fixture matching the outer diameter of the cable needs to be designed and selected, and the sensor is firmly fixed on the cable through the fixture. Note that the tightening force of the fixture should be appropriate, neither preventing the sensor from loosening and affecting the measurement nor damaging the cable due to excessive tightness.

[0093] It is understandable that the drone takes pictures of the transmission cable and the overhead transmission node before and after the strong wind passes. The drone is usually equipped with high-precision positioning modules such as the Global Positioning System (GPS) and the Beidou Navigation System. Before taking off, the coordinate range of the overhead line to be inspected and the flight path can be set, so that the drone can accurately fly over the area where the target transmission cable and the overhead transmission node are located. Even in a strong wind environment, it can rely on its positioning system to continuously correct the flight position deviation, ensure flying according to the predetermined route, thus covering the entire line range to be photographed and not missing any key parts of the shooting. At the same time, the drone is also equipped with auxiliary navigation equipment such as an Inertial Navigation System (INS). When the GPS signal is blocked or interfered (such as near complex terrains with high-rise buildings or valleys), the inertial navigation system can calculate the attitude and position changes of the drone based on the data obtained by its own accelerometer, gyroscope and other sensors, cooperate with the positioning system to ensure the stability and accuracy of the flight, and provide a stable flight platform for the shooting work.

[0094] The alarm unit issues a short-circuit alarm when the predicted short-circuit rate is greater than the preset short-circuit safety rate, and issues a fracture alarm when the predicted fracture rate is greater than the preset fracture safety rate.

[0095] It is understandable that the preset short-circuit safety rate is the probability value that the transmission cable does not have a short circuit, and the preset fracture safety rate is the probability value that the transmission cable does not have a fracture.

[0096] It is understandable that the preset short-circuit safety rate and the preset fracture safety rate are negatively correlated with the number of vibrations of the transmission cable. The possibility of the transmission cable having a short circuit and a fracture increases when the number of vibrations increases, and the preset short-circuit safety rate and the preset fracture safety rate decrease.

[0097] Specifically, the system of the present invention monitors the vibration of the transmission cable by setting a number of vibration sensors, and at the same time uses drones to collect images of the transmission cable and the overhead transmission nodes. Vibration sensors at different positions can accurately determine the specific section where abnormal vibration occurs. Compared with the traditional method of relying on manual inspections to check a large range of transmission cable lines, this precise positioning can greatly narrow the scope of fault investigation, reduce the time and effort consumed by maintenance personnel in finding the fault point, and can collect vibration data of the cable under different working conditions (such as different meteorological conditions, different loads, etc.) for a long time. By analyzing these data, it helps to deeply understand the actual operation state law of the cable, provides a scientific basis for reasonably arranging maintenance plans, optimizing the service life assessment of the cable, etc., and better conducts asset management and operation and maintenance decisions. The drone can fly quickly along the lines of the transmission cable and the overhead transmission nodes, covering a large inspection range in a short time, and is much more efficient than manual walking inspections along the line or using tools such as aerial work platforms to check each transmission node one by one. It can quickly obtain intuitive image information of the entire overhead line, and promptly discover visible problems such as tilting of transmission nodes, damage to the cable surface, foreign objects hanging, and aging of insulators, avoiding potential hazards not being discovered due to omission of some areas during manual inspections. Vibration monitoring is from the perspective of the internal operation state of the cable, and image acquisition is from the perspective of the external appearance form. The combination of the two can achieve a comprehensive and multi-dimensional health assessment of the transmission cable and the transmission nodes, enabling the operation and maintenance personnel to have a more comprehensive and accurate understanding of the overall condition of the line, avoiding the one-sidedness that may exist in a single monitoring method, and being more conducive to precisely carrying out preventive maintenance work, effectively improving the accuracy and practicality of the data processing method based on the large model.

[0098] Please refer to Figure 3 as shown, which is the flowchart for determining the vibration state of the transmission cable in the embodiment of the present invention. The analysis unit determines the vibration state of the transmission cable according to the wind speed data and the number of vibrations. Among them,

[0099] In a state where the wind speed data is greater than or equal to the preset wind speed, if the number of vibrations is greater than or equal to the preset number of vibrations, it is determined that the vibration state of the transmission cable is strong vibration.

[0100] If the number of vibrations is less than the preset number of vibrations, it is determined that the vibration state of the transmission cable is slight vibration;

[0101] In practice, the preset wind speed is 6 meters per second, and the preset number of vibrations is 5 times per second. In a state where the wind speed data is 8 meters per second, if the number of vibrations is 8 times per second, which is greater than the preset number of vibrations, it is determined that the vibration state of the transmission cable is strong vibration.

[0102] If the number of vibrations is 3 times per second, which is less than the preset number of vibrations, it is determined that the vibration state of the transmission cable is slight vibration.

[0103] The preset wind speed is positively correlated with the quality of the transmission cable, and the preset number of vibrations is negatively correlated with the quality of the transmission cable.

[0104] It can be understood that when the wind speed is small, the lateral force generated by the wind is not sufficient to overcome the balance force formed by the gravity of the cable and the lateral component of the tension at the suspension point, and the cable remains stationary; as the wind speed increases, the lateral force of the wind continuously increases. When this force reaches a certain level and can break the original force balance, the cable will start to displace, that is, be blown. The greater the mass of the cable, the greater its gravity. To break this balance and cause the cable to have obvious swings or displacements, a greater lateral force from the wind is required, which means a higher wind speed. For example, a lightweight low-voltage transmission cable may start to have small swings when the wind speed reaches about 5 - 6 meters per second due to its relatively small mass; while for a high-voltage transmission cable with a larger mass and more complex structure, it may not be blown until the wind speed reaches 8 - 10 meters per second or even higher because the balance state maintained by its gravity and suspension system is more difficult to be broken by the wind force. Therefore, the preset wind speed is positively correlated with the quality of the transmission cable.

[0105] It can be understood that under the state of being blown by the same wind speed, the larger the mass of the transmission cable, the smaller the vibration frequency. Therefore, the preset number of vibrations is negatively correlated with the quality of the transmission cable.

[0106] Please refer to Figure 4 as shown, which is the determination flowchart for determining the water vapor content in the air in the embodiment of the present invention. The analysis unit determines the water vapor content in the air according to the humidity data, where

[0107] if the humidity data is greater than or equal to the preset humidity, it is determined that the water vapor content in the air is high,

[0108] if the humidity data is less than the preset humidity, it is determined that the water vapor content in the air is low;

[0109] In implementation, the preset humidity is 70%. If the humidity data is 80% which is greater than the preset humidity, it is determined that the water vapor content in the air is high,

[0110] if the humidity data is 50% which is less than the preset humidity, it is determined that the water vapor content in the air is low.

[0111] The preset humidity is negatively correlated with the air pressure.

[0112] It can be understood that under the condition of a certain temperature, in a low-pressure area, the air rises and water vapor easily condenses to form weather phenomena such as clouds and rain, often accompanied by a relatively high humidity; while in a high-pressure area, the air sinks, the weather is clear, and the humidity is relatively low. Therefore, the preset humidity is negatively correlated with the air pressure.

[0113] Please refer to Figure 5As shown, it is a flow chart for determining the meteorological state of a transmission cable according to an embodiment of the present invention. When determining that the water vapor content in the air is high, the analysis unit determines the meteorological state of the transmission cable according to the temperature data, wherein:

[0114] If the temperature data is greater than or equal to the first preset temperature, the meteorological state is determined to be a rainy state.

[0115] If the temperature data is lower than the first preset temperature, the weather condition is determined to be an icing condition.

[0116] In implementation, the first preset temperature is 0 degrees Celsius. If the temperature data is 8 degrees Celsius, which is greater than the first preset temperature, the meteorological state is determined to be a rainy state.

[0117] If the temperature data is -4 degrees Celsius, which is less than the first preset temperature, the meteorological state is determined to be an icing state.

[0118] The first preset temperature is negatively correlated with the atmospheric pressure.

[0119] It is understandable that as the atmospheric pressure increases, the freezing temperature of water will decrease; conversely, as the atmospheric pressure decreases, the freezing temperature of water will increase, so the first preset temperature is negatively correlated with the atmospheric pressure.

[0120] Specifically, the analysis unit determines the meteorological state of the transmission cable according to the temperature data when determining that the water vapor content in the air is low, wherein:

[0121] If the temperature data is greater than or equal to the second preset temperature, the weather condition is determined to be an overexposure condition.

[0122] If the temperature data is lower than the second preset temperature, the meteorological state is determined to be a low temperature state;

[0123] In implementation, the second preset temperature is 30 degrees Celsius. If the temperature data is 38 degrees Celsius, which is greater than the second preset temperature, it is determined that the weather state is an overexposure state.

[0124] If the temperature data is 25 degrees Celsius, which is less than the second preset temperature, the weather state is determined to be a low temperature state.

[0125] The second preset temperature is greater than the first preset temperature and is positively correlated with the sunshine duration.

[0126] It is understandable that solar radiation is the main source of heat for the earth's surface. When the sunshine duration increases, the time that the ground and the near-ground atmosphere absorb solar radiation also increases accordingly. The absorbed heat continues to accumulate, causing the temperature to rise. Therefore, the second preset temperature is positively correlated with the sunshine duration.

[0127] Specifically, the analysis unit determines the insulation aging rate of the transmission cable according to the cable image, wherein:

[0128] Detect the width and length of the insulation cracks in the transmission cable in the cable image.

[0129] The insulation aging rate of the transmission cable is calculated based on the diameter and length of the transmission cable.

[0130] In implementation, image detection methods, such as those based on traditional image processing or deep learning, are used to accurately measure the width W (mm) and length L (mm) of the cracks in the insulation layer of the transmission cable in the cable image. During the measurement process, it is necessary to ensure the clarity of the image, the accuracy of the measurement method, and the average value of multiple measurements to reduce errors and obtain more reliable crack size data. For some longer cracks, if the image cannot fully display the entire picture, the length of the entire cracked part can be calculated as accurately as possible by splicing multiple continuously taken images or calculating according to a certain proportional relationship;

[0131] Obtain the diameter D (mm) of the transmission cable according to the cable design specification data, and consult the engineering data of cable laying to obtain the total length S (mm) of the transmission cable section;

[0132] Assuming that the shape of the crack in the insulation layer is approximately a rectangle, for irregular shapes, it can be divided into multiple regular shapes or estimated equivalently by image pixel statistics. According to the rectangular area formula, the crack area (square millimeters) is calculated as: , where W is the width of the crack in the insulation layer of the transmission cable (mm), and L is the length of the crack in the insulation layer of the transmission cable (mm); if there are multiple cracks, it is necessary to measure the width and length of each crack separately, and add up their respective crack areas to obtain the total crack area of ​​the insulation layer;

[0133] For a single cylindrical transmission cable, its surface area (square millimeters), ignoring the area at both ends of the cable, only considering the cylindrical side area wrapped with the insulation layer, the calculation formula is: , Take 3.14, is the cable diameter (mm), is the cable length (mm);

[0134] The insulation aging rate P is defined as the ratio of the cracked area of ​​the insulation layer to the outer surface area of ​​the transmission cable. The calculation formula is as follows: ;For example, 5000 square millimeters, If the insulation area is 500,000 square millimeters, the insulation aging rate P is 1%.

[0135] Specifically, the analysis unit determines the offset of the overhead transmission node before and after the strong wind passes according to the image of the transmission node, where

[0136] select the position where the bottom of the overhead transmission node contacts the ground as the origin of coordinates to establish a rectangular coordinate system.

[0137] Calculate the offset according to the pixel coordinates of the top of the overhead transmission node in the transmission node image before and after the strong wind passes.

[0138] In implementation, respectively obtain the coordinate difference of the feature point (such as the top of the transmission node) relative to the reference point (such as the contact point between the bottom of the transmission node and the ground) in the horizontal direction (x-axis direction). Assume that the x coordinate of the feature point before the strong wind is and after the strong wind is , then the horizontal offset is calculated by the formula ; where is the horizontal offset (millimeter); similarly, obtain the coordinate difference of the feature point relative to the reference point in the vertical direction (y-axis direction). Assume that the y coordinate of the feature point before the strong wind is and after the strong wind is , the vertical offset is calculated by the formula ; where is the horizontal offset (millimeter);

[0139] The total offset is ; where is the total offset (millimeter).

[0140] Specifically, the present invention analyzes the aging rate of the cable insulation layer and the offset of the transmission node through the captured images of the cable and the transmission node, and determines the vibration condition of the cable by combining the wind speed and the vibration condition of the cable itself, accurately understanding the aging rate of the cable insulation layer, enabling the operation and maintenance personnel to formulate precise maintenance and replacement plans based on its specific values. For cable segments with a relatively low aging degree, regular key monitoring and appropriate maintenance measures can be arranged to delay the aging process; while for parts with severe aging and approaching the service life limit, the replacement time and required resources can be planned in advance to avoid faults such as short circuits and electric leakage caused by the failure of the insulation layer, ensuring the safe and stable operation of the transmission cable. Since the aging of the insulation layer is one of the important factors leading to cable faults, mastering the aging rate in advance and taking corresponding measures can effectively reduce the risk of power interruption caused by insulation problems and ensure the continuous and stable supply of electricity. This is particularly significant for some places with high requirements for power supply reliability, such as hospitals, data centers, transportation hubs, etc. The offset of the transmission node reflects its foundation stability and the stress condition of the overall line structure. By accurately knowing the offset of the transmission node in a timely manner, if the offset exceeds the safe range, measures such as straightening and strengthening the foundation can be quickly taken to avoid further tilting or toppling of the transmission node and prevent associated problems such as cable pulling and breaking, ensuring that the overhead line structure is always in a safe and stable state and guaranteeing the continuity of power transmission. Considering the external environmental factor of wind speed and the vibration condition of the cable itself can provide a more comprehensive and in-depth understanding of the dynamic operating state of the cable under actual working conditions. Different wind speed conditions will exert different external forces on the cable, thereby affecting its vibration characteristics. By analyzing the relationship among the three, the reasonable range of cable vibration during normal operation can be determined, facilitating the timely detection of abnormal vibration modes and early warning of potential fault hazards, such as cable damage caused by wind-induced fatigue, further improving the accuracy and practicality of the data processing method based on the large model.

[0141] Specifically, the simulation unit corresponds the vibration state to vibration parameters and the meteorological state to meteorological parameters.

[0142] The vibration parameters are combined with the insulation aging rate for calculation to obtain the actual short-circuit rate.

[0143] The vibration parameters are combined with the offset of the overhead transmission node before and after the strong wind passes through to calculate the actual fracture rate.

[0144] In implementation, the height of the overhead transmission node is 5 meters. The vibration states include slight vibration and strong vibration, corresponding to vibration parameters of 0.8 and 1.2 respectively. The meteorological states include exposure state, rainfall state, icing state, and low-temperature state, corresponding to meteorological parameters of 1.4, 1.2, 1.5, and 0.6 respectively. In the strong vibration state, if the insulation aging rate is 11% and the offset before and after the strong wind passes through is 5 mm, the actual short-circuit rate is 1.2 0.11 = 0.132; the actual offset is 1.2 5 = 6 mm, and the actual fracture rate is 6÷5000 = 0.12%.

[0145] Specifically, the present invention analyzes the short - circuit rate of the cable by combining the vibration state of the cable and the insulation aging rate. When the cable vibrates abnormally and the insulation aging rate is high, it means that the internal structure of the cable may have been damaged, the insulation performance has declined, and the possibility of short - circuit increases. In this way, an early warning signal can be sent in advance, allowing the operation and maintenance personnel to have time to take preventive measures, such as strengthening monitoring, arranging local repairs or planning replacements in advance, etc., so as to avoid the sudden occurrence of short - circuit accidents, ensure the stable power supply of the power system, and reduce the huge impact caused by sudden short - circuits on industrial production, residents' lives, etc. In the long run, understanding the short - circuit rates of cables in different regions and of different types helps the transmission cable planning department to more scientifically select cable models, determine reasonable layouts and protection measures, etc. when carrying out work such as upgrading, transforming transmission cables and laying new lines, reduce the probability of future short - circuit faults in the entire transmission cable system, improve the overall safety and risk - resistance ability of the transmission cables, ensure that the transmission cables can adapt to the ever - developing power consumption demands. According to the vibration state and the offset of the overhead transmission node before and after strong wind, in a strong - wind environment, the offset of the overhead transmission node can intuitively reflect its structural stability and the support condition for the cable. Combining the vibration state of the cable itself, the impact degree of strong wind on the entire overhead line can be comprehensively evaluated. If the offset of the transmission node is too large and the cable vibrates abnormally, it may mean that the line structure faces greater risks, such as the loosening of the transmission node foundation, uneven stress at the cable connection part, etc. By timely monitoring and analyzing these data, corresponding reinforcement, adjustment and other measures can be quickly taken to ensure the safety of the line structure under harsh weather conditions, avoid serious accidents such as the collapse of the transmission node and the fracture of the cable, and maintain the continuity of power transmission, further improving the accuracy and practicality of the data - processing method based on the large model.

[0146] Specifically, the simulation unit determines the predicted insulation aging rate of the transmission cable according to the vibration state and the meteorological state in combination with the diameter and length of the transmission cable;

[0147] Determine the predicted offset of the transmission cable according to the vibration state and the meteorological state in combination with the offset of the overhead transmission node.

[0148] In implementation, by combining historical data, the insulation aging rate of a transmission cable with a diameter of 10 mm and a length of 10 m after a single icing state is 2%. The vibration states include slight vibration and strong vibration, corresponding to vibration parameters of 0.8 and 1.2 respectively. The meteorological states include exposure state, rainfall state, icing state and low - temperature state, corresponding to meteorological parameters of 1.4, 1.2, 1.5 and 0.6 respectively. Under the strong - vibration and icing state, the predicted insulation aging rate is 1.2 1.5 0.02 = 0.036。

[0149] In implementation, the height of the overhead transmission node is 5 meters. Combining historical data, the offset of the overhead transmission node after a single icing state is 3 millimeters. The vibration states include slight vibration and strong vibration, corresponding to vibration parameters of 0.8 and 1.2 respectively. The meteorological states include exposure state, rainfall state, icing state, and low temperature state, corresponding to meteorological parameters of 1.4, 1.2, 1.5, and 0.6 respectively. Under the strong vibration and icing states, the predicted offset is 1.2 1.5 3 = 5.4 millimeters.

[0150] Specifically, the prediction unit couples the actual short - circuit rate and the predicted insulation aging rate to generate a predicted short - circuit rate;

[0151] Couples the actual fracture rate and the predicted offset to generate a predicted fracture rate.

[0152] In implementation, if the actual short - circuit rate is 0.132 and the predicted insulation aging rate is 0.036, the actual short - circuit rate and the predicted insulation aging rate are respectively assigned parameters 0.8 and 0.2 to couple and generate a predicted short - circuit rate of 0.132×0.8 + 0.2×0.036 = 0.1128;

[0153] If the predicted offset is 5.4 millimeters, the height of the overhead transmission node is 5 meters, and the actual fracture rate is 0.12%, the actual fracture rate and the predicted offset are respectively assigned parameters 0.8 and 0.2 to couple and generate a predicted fracture rate of 0.8×0.0012 + 0.2×(5.4÷5000)=0.001176.

[0154] In implementation, the alarm unit issues a short - circuit alarm when the predicted short - circuit rate is greater than the preset short - circuit safety rate, and issues a fracture alarm when the predicted fracture rate is greater than the preset fracture safety rate. The preset short - circuit safety rate is 0.5, and the preset fracture safety rate is 0.006. The calculated predicted short - circuit rate is 0.1128, which is less than the preset short - circuit safety rate, so no alarm is issued; the calculated predicted fracture rate is 0.001176, which is less than the preset fracture safety rate, so no alarm is issued.

[0155] Specifically, the present invention predicts short - circuit or breakage conditions that the cable will occur under different subsequent meteorological conditions by combining the actual cable vibration situation and meteorological data and gives early warnings. Through accurate prediction, it is possible to know in advance the risk of short - circuit or breakage of the cable under specific meteorological conditions. For example, before the arrival of severe weather such as strong winds, heavy rains, ice and snow, maintenance personnel can take corresponding preventive measures in advance according to the warning information, such as strengthening the cable, adjusting the tension, checking the connection parts, or arranging an emergency repair team to standby in advance, so as to effectively avoid the actual occurrence of short - circuit or breakage faults of the cable, ensure the continuous and stable supply of electricity, and minimize the adverse impacts brought by power outages to industrial production, residents' lives and various social activities. Based on the risk situations under different meteorological conditions obtained from the prediction, the maintenance department can formulate a more scientific maintenance plan. For those cable segments that are prone to problems in frequently occurring severe meteorological environments, the frequency of regular maintenance can be appropriately increased, and targeted preventive maintenance work can be carried out in advance, such as strengthening insulation, replacing vulnerable parts, etc., making the maintenance work more forward - looking and accurate, ensuring that the cable is always in good operating condition, and further improving the power supply reliability of the entire transmission cable system. According to the predicted risk situations and warning information, power enterprises can reasonably allocate human, material and financial resources, invest more resources in the maintenance and monitoring of high - risk and fault - prone cable segments, avoid investing resources in all cables without discrimination, improve the efficiency of resource utilization, effectively control costs while ensuring the safety of transmission cables, and improve the economic benefits and operation management level of enterprises. Further, the accuracy and practicality of the data - processing method based on the large model are improved.

[0156] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0157] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A data processing method based on a large model, used to determine the data transmission security of a transmission cable according to the large model, characterized in that: include: Recording the vibration times of a plurality of transmission cables and generating a corresponding damage comparison library according to the historical data of the vibration times; Setting a number of corresponding transmission paths and a number of transmission nodes according to the transmission cables; Collecting real-time physical data and real-time transmission data of the transmission path, real-time physical data of the transmission nodes, and environmental data of the area where the transmission path is located; Determine the aging rate of the transmission path according to the real-time physical data of the transmission path, determine the offset of the overhead transmission node before and after the strong wind passes according to the real-time physical data of the transmission node, and generate vibration data according to the vibration number and the environmental data; Determine the actual short circuit rate of the transmission cable according to the vibration data and the aging rate, determine the breakage rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the environmental data respectively; Generate a predicted short circuit rate according to the actual short circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset; pairing the predicted short circuit rate and the predicted fracture rate with the damaged control library, If the pairing is successful, the corresponding physical transmission damage rate is formed; If pairing fails, verifying the real-time transmission data, and, In response to successful verification, the predicted short circuit rate and the predicted fracture rate are recorded as normal states and stored in the damage reference library; In response to a check failure, the predicted short circuit rate and the predicted break rate are recorded as abnormal states, a corresponding physical transmission damage rate is generated, and stored in the damage comparison library.

2. The data processing method based on a large model according to claim 1, characterized in that: The process of monitoring the safety of the transmission cable includes: Recording the number of vibrations of the transmission cable; Before and after the strong wind passes through the area where the transmission cables are located, cruise and shoot each of the transmission cables and the overhead transmission nodes to generate cable images and transmission node images, which are used as real-time physical data of the cable images or real-time physical data of the transmission nodes respectively; Collecting wind speed data, temperature data and humidity data of the area where each transmission cable is located as the environmental data; determining an aging rate of the transmission cable according to the cable image, determining an offset of the overhead transmission node before and after the strong wind passes according to the transmission node image, determining vibration data of the transmission cable according to the wind speed data and the vibration times, the vibration data including slight vibration and strong vibration, and determining meteorological data of the transmission cable according to the temperature data and the humidity data, the meteorological data including exposure data, rainfall data, icing data and low temperature data; Determine the actual short circuit rate of the transmission cable according to the vibration data and the aging rate, determine the breakage rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the meteorological data respectively; Generate a predicted short circuit rate according to the actual short circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset; issuing a short circuit alarm according to the predicted short circuit rate, and issuing a fracture alarm according to the predicted fracture rate; The strong wind refers to flowing air whose wind speed data is greater than or equal to a preset wind speed.

3. The data processing method based on a large model according to claim 2 is characterized in that: The process of determining the vibration data of the transmission cable according to the wind speed data and the vibration number includes: When the wind speed data is greater than or equal to the preset wind speed data, if the vibration number is greater than or equal to the preset vibration number, it is determined that the vibration data of the transmission cable is the strong vibration. If the vibration number is less than the preset vibration number, determining that the vibration data of the transmission cable is the slight vibration; The preset wind speed is positively correlated with the mass of the transmission cable, and the preset vibration number is negatively correlated with the mass of the transmission cable.

4. The data processing method based on a large model according to claim 3 is characterized in that: When determining the water vapor content in the air according to the humidity data, If the humidity data is greater than or equal to the preset humidity, it is determined that the water vapor content in the air is high. If the humidity data is less than the preset humidity, it is determined that the water vapor content in the air is low; The preset humidity is negatively correlated with the air pressure.

5. The data processing method based on a large model according to claim 4 is characterized in that: When it is determined that the water vapor content in the air is high, the meteorological data of the transmission cable is determined according to the temperature data, wherein: If the temperature data is not less than the first preset temperature, the meteorological data is determined to be the rainfall data, If the temperature data is lower than the first preset temperature, the meteorological data is determined to be the freezing data. The first preset temperature is negatively correlated with the atmospheric pressure.

6. The data processing method based on a large model according to claim 5 is characterized in that: When it is determined that the water vapor content in the air is low, the meteorological data of the transmission cable is determined according to the temperature data, wherein: If the temperature data is not less than the second preset temperature, the meteorological data is determined to be the exposure data. If the temperature data is lower than the second preset temperature, determining that the meteorological data is the low temperature data; The second preset temperature is greater than the first preset temperature and is positively correlated with the sunshine duration.

7. The data processing method based on a large model according to claim 6 is characterized in that: The process of determining the aging rate of the transmission cable according to the cable image includes: detecting the width and length of the crack in the insulation layer of the transmission cable in the cable image, The aging rate of the transmission cable is calculated in combination with the diameter and length of the transmission cable.

8. The data processing method based on a large model according to claim 7 is characterized in that: The process of determining the offset of the overhead transmission node before and after the strong wind passes according to the transmission node image includes: The position where the bottom of the overhead transmission node contacts the ground is selected as the coordinate origin to establish a rectangular coordinate system. The offset is calculated based on the pixel coordinates of the top of the overhead transmission node in the transmission node images before and after the strong wind passes.

9. The data processing method based on a large model according to claim 8, characterized in that: The process of determining the fracture rate and the aging rate includes: The vibration data is converted into vibration parameters, and the meteorological data is converted into meteorological parameters. The actual short circuit rate is calculated by combining the vibration parameter with the aging rate; The fracture rate is calculated by combining the vibration parameter with the offset of the overhead transmission node before and after the strong wind passes; determining the predicted aging rate of the transmission cable according to the vibration data and the meteorological data in combination with the diameter and length of the transmission cable; The predicted deflection of the transmission cable is determined based on the vibration data and the meteorological data in combination with the deflection of the overhead transmission node.

10. The data processing method based on a large model according to claim 9, characterized in that: The process of predicting the fracture rate includes: Coupling the actual short-circuit rate and the predicted aging rate to generate the predicted short-circuit rate; The fracture rate and the predicted offset are coupled to generate the predicted fracture rate.

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